Special Interest Group on Information Retrieval Conference (2019)
Content
- Proceedings of the Open-Source IR Replicability Challenge co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, OSIRRC@SIGIR 2019, Paris, France, July 25, 2019 15 papers
- Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019 263 papers
Workshops
- Proceedings of the Third International Workshop on Recent Trends in News Information Retrieval, co-located with 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 25, 2019 15 papers
- Proceedings of the SIGIR 2019 Workshop on eCommerce, co-located with the 42st International ACM SIGIR Conference on Research and Development in Information Retrieval, eCom@SIGIR 2019, Paris, France, July 25, 2019 25 papers
- Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 25, 2019 28 papers
Proceedings of the Open-Source IR Replicability Challenge co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, OSIRRC@SIGIR 2019, Paris, France, July 25, 2019
Overview of the 2019 Open-Source IR Replicability Challenge (OSIRRC 2019)
Ryan Clancy
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Nicola Ferro
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Claudia Hauff
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Jimmy Lin
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Tetsuya Sakai
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Ze Zhong Wu
STELLA: Towards a Framework for the Reproducibility of Online Search Experiments
Timo Breuer
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Philipp Schaer
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Narges Tavakolpoursaleh
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Johann Schaible
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Benjamin Wolff
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Bernd Müller
Let's measure run time! Extending the IR replicability infrastructure to include performance aspects
Sebastian Hofstätter
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Allan Hanbury
Reproducible IR needs an (IR) (Graph) Query Language
Chris Kamphuis
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Arjen P. de Vries
Entity Retrieval Docker Image for OSIRRC at SIGIR 2019
Negar Arabzadeh
Dockerising Terrier for The Open-Source IR Replicability Challenge (OSIRRC 2019)
Arthur Barbosa Câmara
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Craig Macdonald
Dockerizing Automatic Routing Runs for The Open-Source IR Replicability Challenge (OSIRRC 2019)
Timo Breuer
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Philipp Schaer
University of Waterloo Docker Images for OSIRRC at SIGIR 2019
Ryan Clancy
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Zeynep Akkalyoncu Yilmaz
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Ze Zhong Wu
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Jimmy Lin
A Docker-Based Replicability Study of a Neural Information Retrieval Model
Nicola Ferro
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Stefano Marchesin
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Alberto Purpura
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Gianmaria Silvello
Dockerizing Indri for OSIRRC 2019
Claudia Hauff
The OldDog Docker Image for OSIRRC at SIGIR 2019
Chris Kamphuis
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Arjen P. de Vries
PISA: Performant Indexes and Search for Academia
Antonio Mallia
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Michal Siedlaczek
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Joel M. Mackenzie
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Torsten Suel
ielab at the Open-Source IR Replicability Challenge 2019
Harrisen Scells
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Guido Zuccon
BM25 Pseudo Relevance Feedback Using Anserini at Waseda University
Zhaohao Zeng
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Tetsuya Sakai
Proceedings of the Third International Workshop on Recent Trends in News Information Retrieval, co-located with 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 25, 2019
From Redlining to Robots: How Newsrooms Apply Technology to the Craft of Journalism
Aron Pilhofer
Mining Leaks and Open Data to Follow the Money
Friedrich Lindenberg
Biased News Data Influence on Classifying Social Media Posts
Marija Stanojevic
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Jumanah Alshehri
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Eduard C. Dragut
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Zoran Obradovic
Good , Neutral or Bad - News Classification
Aashish Agarwal
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Ankita Mandal
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Matthias Schaffeld
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Fangzheng Ji
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Jhiao Zhan
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Yiqi Sun
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Ahmet Aker
Credibility and Transparency of News Sources: Data Collection and Feature Analysis
Ahmet Aker
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Kevin Vincentius
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Kalina Bontcheva
The Diffusion of Fake News through the "Middle Media" - Contaminated Online Sphere in Japan
Hirotaka Kawashima
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Hiroyuki Fujishiro
Tribalism, Political Polarisation and Disinformation
Samantha North
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Lukasz Piwek
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Adam N. Joinson
Corpus of News Articles Annotated with Article Level Sentiment
Ahmet Aker
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Marius Hamacher
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Alicia Nti
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Anne Smets
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Hauke Gravenkamp
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Johannes Erdmann
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Sabrina Mayer
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Julia Serong
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Anna Welpinghus
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Francesco Marchi
Real-time Claim Detection from News Articles and Retrieval of Semantically-Similar Factchecks
Ben Adler
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Giacomo Boscaini-Gilroy
Squabble: An Efficient, Scalable Controversy Classifier
Shiri Dori-Hacohen
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Elinor Brondwine
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Jeremy Gollehon
Ontology Guided Purposive News Retrieval and Presentation
Lipika Dey
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Rupsa Saha
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Tirthankar Dasgupta
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Abir Naskar
Human-centric Evaluation of Similarity Spaces of News Articles
Clara Higuera Cabanes
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Michel Schammel
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Shirley Ka Kei Yu
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Ben Fields
Event Detection using Images of Temporal Word Patterns
Yunli Wang
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Cyril Goutte
Affect Enriched Word Embeddings for News Information Retrieval
Tommaso Teofili
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Niyati Chhaya
Proceedings of the SIGIR 2019 Workshop on eCommerce, co-located with the 42st International ACM SIGIR Conference on Research and Development in Information Retrieval, eCom@SIGIR 2019, Paris, France, July 25, 2019
An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space
Cun Mu
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Binwei Yang
Closing the Gap Between Query and Database through Query Feature Transformation in C2C e-Commerce Visual Search
Takuma Yamaguchi
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Kosuke Arase
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Riku Togashi
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Shunya Ueta
Comprehensive Audience Expansion based on End-to-End Neural Prediction
Jinling Jiang
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Xiaoming Lin
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Junjie Yao
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Hua Lu
E-commerce Query Classification Using Product Taxonomy Mapping: A Transfer Learning Approach
Michael Skinner
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Surya Kallumadi
Fashion Outfit Generation for E-commerce
Elaine M. Bettaney
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Stephen R. Hardwick
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Benjamin Paul Chamberlain
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Odysseas Zisimopoulos
Image Aesthetics and its Effects on Product Clicks in E-Commerce Search
Fabiano Belém
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Alexandre Maros
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Sérgio D. Canuto
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Rodrigo Silva
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Jussara M. Almeida
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Marcos André Gonçalves
Improving Semantic Matching via Multi-Task Learning in E-Commerce
Hongchun Zhang
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Tianyi Wang
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Xiaonan Meng
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Yi Hu
Learning Embeddings for Product Size Recommendations
Kallirroi Dogani
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Matteo Tomassetti
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Saúl Vargas
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Benjamin Paul Chamberlain
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Sofie De Cnudde
Learning to Diversify for E-commerce Search with Multi-Armed Bandit
Anjan Goswami
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Chengxiang Zhai
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Prasant Mohapatra
Leverage Implicit Feedback for Context-aware Product Search
Keping Bi
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Choon Hui Teo
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Yesh Dattatreya
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Vijai Mohan
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W. Bruce Croft
Multi-Candidate Ranking Algorithm Based Spell Correction
Chao Wang
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Rongkai Zhao
Multi-objective Relevance Ranking
Michinari Momma
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Alireza Bagheri Garakani
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Yi Sun
Neural Factorization for Offer Recommendation using Knowledge Graph Embeddings
Gourab Chowdhury
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Madiraju Srilakshmi
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Mainak Chain
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Sudeshna Sarkar
Organic Ponies and Sponsored Batteries: A Category-Based CTR Optimization Model
Or Levi
PSAC: Context-based Purchase Prediction Framework via User's Sequential Actions
Wei-Cheng Chen
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Chih-Yu Wang
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Su-Chen Lin
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Alex Ou
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Tzu-Chiang Liou
Personalized Query Auto-Completion Through a Lightweight Representation of the User Context
Manojkumar Rangasamy Kannadasan
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Grigor Aslanyan
Production Ranking Systems: A Review
Murium Iqbal
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Nishan Subedi
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Kamelia Aryafar
Query Rewriting using Automatic Synonym Extraction for E-commerce Search
Aritra Mandal
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Ishita K. Khan
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Prathyusha Senthil Kumar
Ranking Sentences from Product Description & Bullets for Better Search
Prateek Verma
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Aliasgar Kutiyanawala
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Ke Shen
Spelling Correction as a Foreign Language
Yingbo Zhou
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Utkarsh Porwal
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Roberto Konow
System Design of Extreme Multi-label Query Classification using a Hybrid Model
Xianjing Liu
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Hejia Zhang
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Mingkuan Liu
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Alan Lu
Text Summarization of Product Titles
Joan Xiao
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Robert Munro
Unsupervised Construction of a Product Knowledge Graph
Omar Alonso
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Vasileios Kandylas
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Rukmini Iyer
Unsupervised Product Entity Resolution using Graph Representation Learning
Mozhdeh Gheini
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Mayank Kejriwal
Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 25, 2019
Preface: 4th Joint Workshop on BIRNDL at SIGIR 2019
Personalized Feed/Query-formulation, Predictive Impact, and Ranking
Alex D. Wade
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Ivana Williams
Discourse Processing for Text Analysis: Recent Successes, Current Challenges
Bonnie Webber
Distant Supervision for Silver Label Generation of Software Mentions in Social Scientific Publications
Katarina Boland
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Frank Krüger
Transfer Learning for Scientific Data Chain Extraction in Small Chemical Corpus with joint BERT-CRF Model
Na Pang
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Li Qian
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Weimin Lyu
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Jin-Dong Yang
Revaluating Semantometrics from Computer Science Publications
Christin Katharina Kreutz
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Premtim Sahitaj
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Ralf Schenkel
Extracting and Matching Patent In-text References to Scientific Publications
Suzan Verberne
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Ioannis Chios
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Jian Wang
HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis
Michael Soprano
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Kevin Roitero
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Stefano Mizzaro
Supervised Learning for Automated Literature Review
Jason Portenoy
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Jevin D. West
Can Models of Author Intention Support Quality Assessment of Content?
Arlene J. Casey
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Bonnie Webber
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Dorota Glowacka
Comparing Word Embeddings for Document Screening based on Active Learning
Andres Carvallo
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Denis Parra
Towards Formula Concept Discovery and Recognition
Philipp Scharpf
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Moritz Schubotz
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Howard S. Cohl
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Bela Gipp
CiteTracked: A Longitudinal Dataset of Peer Reviews and Citations
Barbara Plank
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Reinard van Dalen
Evaluating the Availability of Open Citation Data
Chifumi Nishioka
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Michael Färber
Why Machines Cannot Learn Mathematics, Yet
André Greiner-Petter
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Terry Ruas
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Moritz Schubotz
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Akiko Aizawa
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William I. Grosky
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Bela Gipp
Identifying the Conceptual Space of Citation Contexts using Coreferences
Marc Bertin
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Pierre Jonin
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Frédéric Armetta
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Iana Atanassova
Analysing Author Name Mentions in Citation Contexts of Highly Cited Publications
Rajesh Piryani
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Wolfgang Otto
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Philipp Mayr
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Vivek Kumar Singh
Overview and Results: CL-SciSumm Shared Task 2019
Muthu Kumar Chandrasekaran
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Michihiro Yasunaga
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Dragomir R. Radev
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Dayne Freitag
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Min-Yen Kan
NaCTeM-UoM @ CL-SciSumm 2019
Chrysoula Zerva
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Minh-Quoc Nghiem
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Nhung T. H. Nguyen
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Sophia Ananiadou
IR&TM-NJUST @ CLSciSumm-19
Shutian Ma
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Heng Zhang
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Tianxiang Xu
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Jin Xu
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Shaohu Hu
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Chengzhi Zhang
CIST@CLSciSumm-19: Automatic Scientific Paper Summarization with Citances and Facets
Lei Li
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Yingqi Zhu
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Yang Xie
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Zuying Huang
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Wei Liu
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Xingyuan Li
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Yinan Liu
IRIT-IRIS at CL-SciSumm 2019: Matching Citances with their Intended Reference Text Spans from the Scientific Literature
Yoann Pitarch
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Karen Pinel-Sauvagnat
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Gilles Hubert
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Guillaume Cabanac
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Ophélie Fraisier-Vannier
Helium @ CL-SciSumm-19 : Transfer learning for effective scientific research comprehension
Bakhtiyar Syed
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Vijayasaradhi Indurthi
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Balaji Vasan Srinivasan
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Vasudeva Varma
LaSTUS-TALN+INCO @ CL-SciSumm 2019
Luis Chiruzzo
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Ahmed AbuRa'ed
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Àlex Bravo
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Horacio Saggion
Poli2Sum@CL-SciSumm-19: Identify, Classify, and Summarize Cited Text Spans by means of Ensembles of Supervised Models
Moreno La Quatra
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Luca Cagliero
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Elena Baralis
NJU@CL-SciSumm-19
Hyonil Kim
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Shiyan Ou
ATHENA@CL-SciSumm 2019: Siamese recurrent bi-directional neural network for identifying cited text spans
Aris Fergadis
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Dimitris Pappas
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Haris Papageorgiou
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019
The Importance of Interaction for Information Retrieval
W. Bruce Croft
Automatic Understanding of the Visual World
Cordelia Schmid
A General Framework for Counterfactual Learning-to-Rank
Aman Agarwal
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Kenta Takatsu
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Ivan Zaitsev
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Thorsten Joachims
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions
Rolf Jagerman
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Harrie Oosterhuis
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Maarten de Rijke
Domain Adaptation for Enterprise Email Search
Brandon Tran
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Maryam Karimzadehgan
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Rama Kumar Pasumarthi
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Michael Bendersky
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Donald Metzler
Health Cards for Consumer Health Search
Jimmy
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Guido Zuccon
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Bevan Koopman
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Gianluca Demartini
Hate Speech Detection is Not as Easy as You May Think: A Closer Look at Model Validation
Aymé Arango
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Jorge Pérez
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Barbara Poblete
Harvesting Drug Effectiveness from Social Media
Zi Chai
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Xiaojun Wan
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Zhao Zhang
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Minjie Li
Generic Intent Representation in Web Search
Hongfei Zhang
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Xia Song
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Chenyan Xiong
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Corby Rosset
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Paul N. Bennett
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Nick Craswell
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Saurabh Tiwary
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering
Yangyang Guo
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Zhiyong Cheng
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Liqiang Nie
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Yibing Liu
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Yinglong Wang
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Mohan S. Kankanhalli
Document Gated Reader for Open-Domain Question Answering
Bingning Wang
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Ting Yao
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Qi Zhang
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Jingfang Xu
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Zhixing Tian
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Kang Liu
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Jun Zhao
Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection
Di Liang
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Fubao Zhang
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Weidong Zhang
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Qi Zhang
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Jinlan Fu
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Minlong Peng
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Tao Gui
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Xuanjing Huang
Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs
Xiaolu Lu
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Soumajit Pramanik
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Rishiraj Saha Roy
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Abdalghani Abujabal
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Yafang Wang
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Gerhard Weikum
Controlling Risk of Web Question Answering
Lixin Su
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Jiafeng Guo
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Yixing Fan
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Yanyan Lan
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Xueqi Cheng
Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation
Xin Xin
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Xiangnan He
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Yongfeng Zhang
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Yongdong Zhang
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Joemon M. Jose
Noise Contrastive Estimation for One-Class Collaborative Filtering
Ga Wu
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Maksims Volkovs
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Chee Loong Soon
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Scott Sanner
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Himanshu Rai
Compositional Coding for Collaborative Filtering
Chenghao Liu
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Tao Lu
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Xin Wang
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Zhiyong Cheng
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Jianling Sun
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Steven C. H. Hoi
Unified Collaborative Filtering over Graph Embeddings
Pengfei Wang
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Hanxiong Chen
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Yadong Zhu
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Huawei Shen
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Yongfeng Zhang
Neural Graph Collaborative Filtering
Xiang Wang
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Xiangnan He
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Meng Wang
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Fuli Feng
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Tat-Seng Chua
Knowledge Tracing with Sequential Key-Value Memory Networks
Ghodai Abdelrahman
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Qing Wang
Personal Knowledge Base Construction from Text-based Lifelogs
An-Zi Yen
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Hen-Hsen Huang
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Hsin-Hsi Chen
Identifying Entity Properties from Text with Zero-shot Learning
Wiradee Imrattanatrai
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Makoto P. Kato
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Masatoshi Yoshikawa
One-Class Order Embedding for Dependency Relation Prediction
Meng-Fen Chiang
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Ee-Peng Lim
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Wang-Chien Lee
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Xavier Jayaraj Siddarth Ashok
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Philips Kokoh Prasetyo
ENT Rank: Retrieving Entities for Topical Information Needs through Entity-Neighbor-Text Relations
Laura Dietz
An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation
Chong Chen
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Min Zhang
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Chenyang Wang
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Weizhi Ma
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Minming Li
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Yiqun Liu
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Shaoping Ma
A Neural Influence Diffusion Model for Social Recommendation
Le Wu
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Peijie Sun
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Yanjie Fu
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Richang Hong
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Xiting Wang
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Meng Wang
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation
Thanh Tran
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Renee Sweeney
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Kyumin Lee
Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation
Lucas Vinh Tran
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Tuan-Anh Nguyen Pham
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Yi Tay
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Yiding Liu
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Gao Cong
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Xiaoli Li
Transparent, Scrutable and Explainable User Models for Personalized Recommendation
Krisztian Balog
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Filip Radlinski
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Shushan Arakelyan
A Capsule Network for Recommendation and Explaining What You Like and Dislike
Chenliang Li
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Cong Quan
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Li Peng
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Yunwei Qi
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Yuming Deng
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Libing Wu
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Yikun Xian
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Zuohui Fu
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S. Muthukrishnan
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Gerard de Melo
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Yongfeng Zhang
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees
Yiyi Tao
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Yiling Jia
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Nan Wang
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Hongning Wang
Privacy-aware Document Ranking with Neural Signals
Jinjin Shao
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Shiyu Ji
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Tao Yang
Legal Intelligence for E-commerce: Multi-task Learning by Leveraging Multiview Dispute Representation
Xin Zhou
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Yating Zhang
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Xiaozhong Liu
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Changlong Sun
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Luo Si
Hierarchical Matching Network for Crime Classification
Pengfei Wang
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Yu Fan
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Shuzi Niu
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Ze Yang
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Yongfeng Zhang
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Jiafeng Guo
Learning from Fact-checkers: Analysis and Generation of Fact-checking Language
Nguyen Vo
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Kyumin Lee
A Collaborative Session-based Recommendation Approach with Parallel Memory Modules
Meirui Wang
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Pengjie Ren
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Lei Mei
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Zhumin Chen
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Jun Ma
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Maarten de Rijke
Similarity-Based Synthetic Document Representations for Meta-Feature Generation in Text Classification
Sérgio D. Canuto
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Thiago Salles
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Thierson Couto Rosa
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Marcos André Gonçalves
Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model
Guoxiu He
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Yangyang Kang
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Zhe Gao
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Zhuoren Jiang
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Changlong Sun
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Xiaozhong Liu
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Wei Lu
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Qiong Zhang
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Luo Si
Why do Users Issue Good Queries?: Neural Correlates of Term Specificity
Lauri Kangassalo
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Michiel M. A. Spapé
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Giulio Jacucci
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Tuukka Ruotsalo
Context Attentive Document Ranking and Query Suggestion
Wasi Uddin Ahmad
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Kai-Wei Chang
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Hongning Wang
Information Needs, Queries, and Query Performance Prediction
Oleg Zendel
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Anna Shtok
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Fiana Raiber
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Oren Kurland
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J. Shane Culpepper
Task Completion Detection: A Study in the Context of Intelligent Systems
Ryen W. White
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Ahmed Hassan Awadallah
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Robert Sim
Bridging Gaps: Predicting User and Task Characteristics from Partial User Information
Matthew Mitsui
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Chirag Shah
Human Behavior Inspired Machine Reading Comprehension
Yukun Zheng
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Jiaxin Mao
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Yiqun Liu
|
Zixin Ye
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Min Zhang
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Shaoping Ma
EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation
Jiayi Zhang
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Chongyang Tao
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Zhenjing Xu
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Qiaojing Xie
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Wei Chen
|
Rui Yan
User Attention-guided Multimodal Dialog Systems
Chen Cui
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Wenjie Wang
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Xuemeng Song
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Minlie Huang
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Xin-Shun Xu
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Liqiang Nie
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence
Yaoming Zhu
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Juncheng Wan
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Zhiming Zhou
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Liheng Chen
|
Lin Qiu
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Weinan Zhang
|
Xin Jiang
|
Yong Yu
Video Dialog via Multi-Grained Convolutional Self-Attention Context Networks
Weike Jin
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Zhou Zhao
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Mao Gu
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Jun Yu
|
Jun Xiao
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Yueting Zhuang
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
Mohammad Aliannejadi
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Hamed Zamani
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Fabio Crestani
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W. Bruce Croft
Accelerated Query Processing Via Similarity Score Prediction
Matthias Petri
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Alistair Moffat
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Joel M. Mackenzie
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J. Shane Culpepper
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Daniel Beck
Optimal Freshness Crawl Under Politeness Constraints
Andrey Kolobov
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Yuval Peres
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Eyal Lubetzky
|
Eric Horvitz
Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors
Julián Urbano
|
Harlley Lima
|
Alan Hanjalic
CROSS: Cross-platform Recommendation for Social E-Commerce
Tzu-Heng Lin
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Chen Gao
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Yong Li
Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model
Renfeng Ma
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Xiangkun Hu
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Qi Zhang
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Xuanjing Huang
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Yu-Gang Jiang
Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning
Tao Gui
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Peng Liu
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Qi Zhang
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Liang Zhu
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Minlong Peng
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Yunhua Zhou
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Xuanjing Huang
Online User Representation Learning Across Heterogeneous Social Networks
Weiqing Wang
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Hongzhi Yin
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Xingzhong Du
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Wen Hua
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Yongjun Li
|
Quoc Viet Hung Nguyen
PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data
Shuqi Lu
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Zhicheng Dou
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Jun Xu
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Jian-Yun Nie
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Ji-Rong Wen
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
Kan Ren
|
Jiarui Qin
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Yuchen Fang
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Weinan Zhang
|
Lei Zheng
|
Weijie Bian
|
Guorui Zhou
|
Jian Xu
|
Yong Yu
|
Xiaoqiang Zhu
|
Kun Gai
Multi-view Embedding-based Synonyms for Email Search
Cheng Li
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Mingyang Zhang
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Michael Bendersky
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Hongbo Deng
|
Donald Metzler
|
Marc Najork
Context-Aware Intent Identification in Email Conversations
Wei Wang
|
Saghar Hosseini
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Ahmed Hassan Awadallah
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Paul N. Bennett
|
Chris Quirk
Which Diversity Evaluation Measures Are "Good"?
Tetsuya Sakai
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Zhaohao Zeng
Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment
Zhijing Wu
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Jiaxin Mao
|
Yiqun Liu
|
Min Zhang
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Shaoping Ma
Jointly Modeling Relevance and Sensitivity for Search Among Sensitive Content
Mahmoud F. Sayed
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Douglas W. Oard
Revisiting Online Personal Search Metrics with the User in Mind
Azin Ashkan
|
Donald Metzler
Scalable Deep Multimodal Learning for Cross-Modal Retrieval
Peng Hu
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Liangli Zhen
|
Dezhong Peng
|
Pei Liu
Neural-Network Lexical Translation for Cross-lingual IR from Text and Speech
Rabih Zbib
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Lingjun Zhao
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Damianos G. Karakos
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William Hartmann
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Jay DeYoung
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Zhongqiang Huang
|
Zhuolin Jiang
|
Noah Rivkin
|
Le Zhang
|
Richard M. Schwartz
|
John Makhoul
Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos
Zhu Zhang
|
Zhijie Lin
|
Zhou Zhao
|
Zhenxin Xiao
Bayesian Personalized Feature Interaction Selection for Factorization Machines
Yifan Chen
|
Pengjie Ren
|
Yang Wang
|
Maarten de Rijke
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation
Ting Bai
|
Lixin Zou
|
Wayne Xin Zhao
|
Pan Du
|
Weidong Liu
|
Jian-Yun Nie
|
Ji-Rong Wen
π-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations
Muyang Ma
|
Pengjie Ren
|
Yujie Lin
|
Zhumin Chen
|
Jun Ma
|
Maarten de Rijke
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
Feiyang Pan
|
Shuokai Li
|
Xiang Ao
|
Pingzhong Tang
|
Qing He
Effects of User Negative Experience in Mobile News Streaming
Hongyu Lu
|
Min Zhang
|
Weizhi Ma
|
Ce Wang
|
Feng Xia
|
Yiqun Liu
|
Leyu Lin
|
Shaoping Ma
Online Multi-modal Hashing with Dynamic Query-adaption
Xu Lu
|
Lei Zhu
|
Zhiyong Cheng
|
Liqiang Nie
|
Huaxiang Zhang
Supervised Hierarchical Cross-Modal Hashing
Changchang Sun
|
Xuemeng Song
|
Fuli Feng
|
Wayne Xin Zhao
|
Hao Zhang
|
Liqiang Nie
Unsupervised Neural Generative Semantic Hashing
Casper Hansen
|
Christian Hansen
|
Jakob Grue Simonsen
|
Stephen Alstrup
|
Christina Lioma
Outline Generation: Understanding the Inherent Content Structure of Documents
Ruqing Zhang
|
Jiafeng Guo
|
Yixing Fan
|
Yanyan Lan
|
Xueqi Cheng
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun
|
Jian Tang
|
Pan Du
|
Zhi-Hong Deng
|
Jian-Yun Nie
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation
Xu Chen
|
Hanxiong Chen
|
Hongteng Xu
|
Yongfeng Zhang
|
Yixin Cao
|
Zheng Qin
|
Hongyuan Zha
Interpretable Fashion Matching with Rich Attributes
Xun Yang
|
Xiangnan He
|
Xiang Wang
|
Yunshan Ma
|
Fuli Feng
|
Meng Wang
|
Tat-Seng Chua
Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching
Xianjing Han
|
Xuemeng Song
|
Jianhua Yin
|
Yinglong Wang
|
Liqiang Nie
Teach Machine How to Read: Reading Behavior Inspired Relevance Estimation
Xiangsheng Li
|
Jiaxin Mao
|
Chao Wang
|
Yiqun Liu
|
Min Zhang
|
Shaoping Ma
Improving the Accuracy of System Performance Estimation by Using Shards
Nicola Ferro
|
Mark Sanderson
Fast Approximate Filtering of Search Results Sorted by Attribute
Franco Maria Nardini
|
Roberto Trani
|
Rossano Venturini
Intervention Harvesting for Context-Dependent Examination-Bias Estimation
Zhichong Fang
|
Aman Agarwal
|
Thorsten Joachims
Variance Reduction in Gradient Exploration for Online Learning to Rank
Huazheng Wang
|
Sonwoo Kim
|
Eric McCord-Snook
|
Qingyun Wu
|
Hongning Wang
Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems
Raphael Tang
|
Ferhan Türe
|
Jimmy Lin
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval
Dany Haddad
|
Joydeep Ghosh
Network Embedding and Change Modeling in Dynamic Heterogeneous Networks
Ranran Bian
|
Yun Sing Koh
|
Gillian Dobbie
|
Anna Divoli
From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories
Songwei Ge
|
Curtis Xuan
|
Ruihua Song
|
Chao Zou
|
Wei Liu
|
Jin Zhou
Length-adaptive Neural Network for Answer Selection
Taihua Shao
|
Fei Cai
|
Honghui Chen
|
Maarten de Rijke
Embedding Edge-attributed Relational Hierarchies
Muhao Chen
|
Chris Quirk
Leveraging Emotional Signals for Credibility Detection
Anastasia Giachanou
|
Paolo Rosso
|
Fabio Crestani
Encoding Syntactic Dependency and Topical Information for Social Emotion Classification
Chang Wang
|
Bang Wang
|
Wei Xiang
|
Minghua Xu
Information Cascades Modeling via Deep Multi-Task Learning
Xueqin Chen
|
Kunpeng Zhang
|
Fan Zhou
|
Goce Trajcevski
|
Ting Zhong
|
Fengli Zhang
An Analysis of the Change in Discussions on Social Media with Bitcoin Price
Andrew Burnie
|
Emine Yilmaz
Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles
Ting Su
|
Craig Macdonald
|
Iadh Ounis
Contextually Propagated Term Weights for Document Representation
Casper Hansen
|
Christian Hansen
|
Stephen Alstrup
|
Jakob Grue Simonsen
|
Christina Lioma
Time-Limits and Summaries for Faster Relevance Assessing
Shahin Rahbariasl
|
Mark D. Smucker
Deep Collaborative Discrete Hashing with Semantic-Invariant Structure
Zijian Wang
|
Zheng Zhang
|
Yadan Luo
|
Zi Huang
On Topic Difficulty in IR Evaluation: The Effect of Systems, Corpora, and System Components
Fabio Zampieri
|
Kevin Roitero
|
J. Shane Culpepper
|
Oren Kurland
|
Stefano Mizzaro
M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs
Yang Fang
|
Xiang Zhao
|
Peixin Huang
|
Weidong Xiao
|
Maarten de Rijke
How to Deal with Scarce Annotations in Answer Selection
Emmanuel Vallée
|
Delphine Charlet
|
Gabriel Marzinotto
|
Fabrice Clérot
|
Frank Meyer
One-Class Collaborative Filtering with the Queryable Variational Autoencoder
Ga Wu
|
Mohamed Reda Bouadjenek
|
Scott Sanner
Developing Evaluation Metrics for Instant Search Using Mixed Methods Methods
Praveen Chandar
|
Jean Garcia-Gathright
|
Christine Hosey
|
Brian St. Thomas
|
Jennifer Thom
FAQ Retrieval Using Attentive Matching
Sparsh Gupta
|
Vitor R. Carvalho
Item Recommendation by Combining Relative and Absolute Feedback Data
Saikishore Kalloori
|
Tianyu Li
|
Francesco Ricci
Multiple Query Processing via Logic Function Factoring
Matteo Catena
|
Nicola Tonellotto
Information Nutritional Label and Word Embedding to Estimate Information Check-Worthiness
Cédric Lespagnol
|
Josiane Mothe
|
Md Zia Ullah
Unbiased Low-Variance Estimators for Precision and Related Information Retrieval Effectiveness Measures
Gordon V. Cormack
|
Maura R. Grossman
Multi-Level Matching Networks for Text Matching
Chunlin Xu
|
Zhiwei Lin
|
Shengli Wu
|
Hui Wang
Investigating the Interplay Between Searchers' Privacy Concerns and Their Search Behavior
Steven Zimmerman
|
Alistair Thorpe
|
Chris Fox
|
Udo Kruschwitz
A Systematic Comparison of Methods for Finding Good Premises for Claims
Lorik Dumani
|
Ralf Schenkel
Graph Intention Network for Click-through Rate Prediction in Sponsored Search
Feng Li
|
Zhenrui Chen
|
Pengjie Wang
|
Yi Ren
|
Di Zhang
|
Xiaoyu Zhu
A Scalable Virtual Document-Based Keyword Search System for RDF Datasets
Dennis Dosso
|
Gianmaria Silvello
Query-Task Mapping
Michael Völske
|
Ehsan Fatehifar
|
Benno Stein
|
Matthias Hagen
An Analysis of Query Reformulation Techniques for Precision Medicine
Maristella Agosti
|
Giorgio Maria Di Nunzio
|
Stefano Marchesin
Using Trails to Support Users with Tasks of Varying Scope
Robert Capra
|
Jaime Arguello
An Axiomatic Approach to Regularizing Neural Ranking Models
Corby Rosset
|
Bhaskar Mitra
|
Chenyan Xiong
|
Nick Craswell
|
Xia Song
|
Saurabh Tiwary
Deeper Text Understanding for IR with Contextual Neural Language Modeling
Zhuyun Dai
|
Jamie Callan
Understanding the Interpretability of Search Result Summaries
Siyu Mi
|
Jiepu Jiang
Content-Based Weak Supervision for Ad-Hoc Re-Ranking
Sean MacAvaney
|
Andrew Yates
|
Kai Hui
|
Ophir Frieder
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search
Pepa Atanasova
|
Georgi Karadzhov
|
Yasen Kiprov
|
Preslav Nakov
|
Fabrizio Sebastiani
On Tradeoffs Between Document Signature Methods for a Legal Due Diligence Corpus
Adam Roegiest
|
Edward Lee
A study on the Interpretability of Neural Retrieval Models using DeepSHAP
Zeon Trevor Fernando
|
Jaspreet Singh
|
Avishek Anand
Automatic Task Completion Flows from Web APIs
Kyle Williams
|
Seyyed Hadi Hashemi
|
Imed Zitouni
Ontology-Aware Clinical Abstractive Summarization
Sean MacAvaney
|
Sajad Sotudeh
|
Arman Cohan
|
Nazli Goharian
|
Ish A. Talati
|
Ross W. Filice
Hyperlink Classification via Structured Graph Embedding
Geon Lee
|
Seonggoo Kang
|
Joyce Jiyoung Whang
Answer-enhanced Path-aware Relation Detection over Knowledge Base
Daoyuan Chen
|
Min Yang
|
Hai-Tao Zheng
|
Yaliang Li
|
Ying Shen
Block-distributed Gradient Boosted Trees
Theodore Vasiloudis
|
Hyunsu Cho
|
Henrik Boström
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval
Li Zhang
|
Shuo Zhang
|
Krisztian Balog
Coarse-to-Fine Grained Classification
Yuqi Huo
|
Yao Lu
|
Yulei Niu
|
Zhiwu Lu
|
Ji-Rong Wen
Local Matrix Approximation based on Graph Random Walk
Xuejiao Yang
|
Bang Wang
A Context-based Framework for Resource Citation Classification in Scientific Literatures
He Zhao
|
Zhunchen Luo
|
Chong Feng
|
Yuming Ye
Text Retrieval Priors for Bayesian Logistic Regression
Eugene Yang
|
David D. Lewis
|
Ophir Frieder
A Lightweight Representation of News Events on Social Media
Mauricio Quezada
|
Barbara Poblete
Analyzing and Predicting News Popularity in an Instant Messaging Service
Mohammad Naseri
|
Hamed Zamani
Adversarial Training for Review-Based Recommendations
Dimitrios Rafailidis
|
Fabio Crestani
A New Perspective on Score Standardization
Julián Urbano
|
Harlley Lima
|
Alan Hanjalic
Adversarial Collaborative Neural Network for Robust Recommendation
Feng Yuan
|
Lina Yao
|
Boualem Benatallah
Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN
Diksha Garg
|
Priyanka Gupta
|
Pankaj Malhotra
|
Lovekesh Vig
|
Gautam Shroff
Addressing Vocabulary Gap in E-commerce Search
Subhadeep Maji
|
Rohan Kumar
|
Manish Bansal
|
Kalyani Roy
|
Mohit Kumar
|
Pawan Goyal
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation
Lei Zheng
|
Ziwei Fan
|
Chun-Ta Lu
|
Jiawei Zhang
|
Philip S. Yu
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation
Lei Zheng
|
Chaozhuo Li
|
Chun-Ta Lu
|
Jiawei Zhang
|
Philip S. Yu
Normalized Query Commitment Revisited
Haggai Roitman
Quantifying Bias and Variance of System Rankings
Gordon V. Cormack
|
Maura R. Grossman
Towards Better Support for Exploratory Search through an Investigation of Notes-to-self and Notes-to-share
Anita Crescenzi
|
Yuan Li
|
Yinglong Zhang
|
Robert Capra
The Emotion Profile of Web Search
Gabriella Kazai
|
Paul Thomas
|
Nick Craswell
CEDR: Contextualized Embeddings for Document Ranking
Sean MacAvaney
|
Andrew Yates
|
Arman Cohan
|
Nazli Goharian
Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis
Hao-Ming Fu
|
Pu-Jen Cheng
Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval
Robert Litschko
|
Goran Glavas
|
Ivan Vulic
|
Laura Dietz
FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance
Wataru Sakata
|
Tomohide Shibata
|
Ribeka Tanaka
|
Sadao Kurohashi
Argument Search: Assessing Argument Relevance
Martin Potthast
|
Lukas Gienapp
|
Florian Euchner
|
Nick Heilenkötter
|
Nico Weidmann
|
Henning Wachsmuth
|
Benno Stein
|
Matthias Hagen
Order-aware Embedding Neural Network for CTR Prediction
Wei Guo
|
Ruiming Tang
|
Huifeng Guo
|
Jianhua Han
|
Wen Yang
|
Yuzhou Zhang
The Impact of Score Ties on Repeatability in Document Ranking
Jimmy Lin
|
Peilin Yang
Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models
Wei Yang
|
Kuang Lu
|
Peilin Yang
|
Jimmy Lin
BERT with History Answer Embedding for Conversational Question Answering
Chen Qu
|
Liu Yang
|
Minghui Qiu
|
W. Bruce Croft
|
Yongfeng Zhang
|
Mohit Iyyer
On the Effect of Low-Frequency Terms on Neural-IR Models
Sebastian Hofstätter
|
Navid Rekabsaz
|
Carsten Eickhoff
|
Allan Hanbury
Effective Medical Archives Processing Using Knowledge Graphs
Xiaoli Wang
|
Rongzhen Wang
|
Zhifeng Bao
|
Jiayin Liang
|
Wei Lu
Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network
Chen Zhang
|
Qiuchi Li
|
Dawei Song
A Study on Agreement in PICO Span Annotations
Grace E. Lee
|
Aixin Sun
Corpus-based Set Expansion with Lexical Features and Distributed Representations
Puxuan Yu
|
Zhiqi Huang
|
Razieh Rahimi
|
James Allan
Sparse Tensor Co-clustering as a Tool for Document Categorization
Rafika Boutalbi
|
Lazhar Labiod
|
Mohamed Nadif
Numeral Attachment with Auxiliary Tasks
Chung-Chi Chen
|
Hen-Hsen Huang
|
Hsin-Hsi Chen
Decoding The Style And Bias of Song Lyrics
Manash Pratim Barman
|
Amit Awekar
|
Sambhav Kothari
Retrieving Multi-Entity Associations: An Evaluation of Combination Modes for Word Embeddings
Gloria Feher
|
Andreas Spitz
|
Michael Gertz
Modeling Transferable Topics for Cross-Target Stance Detection
Penghui Wei
|
Wenji Mao
TDP: Personalized Taxi Demand Prediction Based on Heterogeneous Graph Embedding
Zhenlong Zhu
|
Ruixuan Li
|
Minghui Shan
|
Yuhua Li
|
Lu Gao
|
Fei Wang
|
Jixing Xu
|
Xiwu Gu
Uncovering Insurance Fraud Conspiracy with Network Learning
Chen Liang
|
Ziqi Liu
|
Bin Liu
|
Jun Zhou
|
Xiaolong Li
|
Shuang Yang
|
Yuan Qi
Training Streaming Factorization Machines with Alternating Least Squares
Xueyu Mao
|
Saayan Mitra
|
Sheng Li
Social Attentive Deep Q-network for Recommendation
Yu Lei
|
Zhitao Wang
|
Wenjie Li
|
Hongbin Pei
Cleaned Similarity for Better Memory-Based Recommenders
Farhan Khawar
|
Nevin L. Zhang
ABCPRec: Adaptively Bridging Consumer and Producer Roles for User-Generated Content Recommendation
Kosetsu Tsukuda
|
Satoru Fukayama
|
Masataka Goto
Improving Collaborative Metric Learning with Efficient Negative Sampling
Viet-Anh Tran
|
Romain Hennequin
|
Jimena Royo-Letelier
|
Manuel Moussallam
SAIN: Self-Attentive Integration Network for Recommendation
Seongjun Yun
|
Raehyun Kim
|
Miyoung Ko
|
Jaewoo Kang
Towards Context-Aware Evaluation for Image Search
Yunqiu Shao
|
Jiaxin Mao
|
Yiqun Liu
|
Min Zhang
|
Shaoping Ma
A Horizontal Patent Test Collection
Mihai Lupu
|
Alexandros Bampoulidis
|
Luca Papariello
Dynamic Sampling Meets Pooling
Gordon V. Cormack
|
Haotian Zhang
|
Nimesh Ghelani
|
Mustafa Abualsaud
|
Mark D. Smucker
|
Maura R. Grossman
|
Shahin Rahbariasl
|
Amira Ghenai
Help Me Search: Leveraging User-System Collaboration for Query Construction to Improve Accuracy for Difficult Queries
Saar Kuzi
|
Abhishek Narwekar
|
Anusri Pampari
|
ChengXiang Zhai
On Anonymous Commenting: A Greedy Approach to Balance Utilization and Anonymity for Instagram Users
Arian Askari
|
Asal Jalilvand
|
Mahmood Neshati
Neural Compatibility Ranking for Text-based Fashion Matching
Suthee Chaidaroon
|
Yi Fang
|
Min Xie
|
Alessandro Magnani
NRPA: Neural Recommendation with Personalized Attention
Hongtao Liu
|
Fangzhao Wu
|
Wenjun Wang
|
Xianchen Wang
|
Pengfei Jiao
|
Chuhan Wu
|
Xing Xie
Vertical Search Blending: A Real-world Counterfactual Dataset
Pavel Procházka
|
Matej Kocián
|
Jakub Drdák
|
Jan Vrsovský
|
Vladimír Kadlec
|
Jaroslav Kuchar
Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks
Sebastian Bruch
|
Masrour Zoghi
|
Michael Bendersky
|
Marc Najork
Name Entity Recognition with Policy-Value Networks
Yadi Lao
|
Jun Xu
|
Sheng Gao
|
Jun Guo
|
Ji-Rong Wen
Revealing the Role of User Moods in Struggling Search Tasks
Luyan Xu
|
Xuan Zhou
|
Ujwal Gadiraju
Selecting Discriminative Terms for Relevance Model
Dwaipayan Roy
|
Sumit Bhatia
|
Mandar Mitra
A Dataset of Systematic Review Updates
Amal Alharbi
|
Mark Stevenson
Query Performance Prediction for Pseudo-Feedback-Based Retrieval
Haggai Roitman
|
Oren Kurland
Reinforcement Learning for User Intent Prediction in Customer Service Bots
Cen Chen
|
Chilin Fu
|
Xu Hu
|
Xiaolu Zhang
|
Jun Zhou
|
Xiaolong Li
|
Forrest Sheng Bao
Enhanced News Retrieval: Passages Lead the Way!
Matteo Catena
|
Ophir Frieder
|
Cristina Ioana Muntean
|
Franco Maria Nardini
|
Raffaele Perego
|
Nicola Tonellotto
Contextual Dialogue Act Classification for Open-Domain Conversational Agents
Ali Ahmadvand
|
Jason Ingyu Choi
|
Eugene Agichtein
Accelerating Exact Inner Product Retrieval by CPU-GPU Systems
Long Xiang
|
Bo Tang
|
Chuan Yang
LIRME: Locally Interpretable Ranking Model Explanation
Manisha Verma
|
Debasis Ganguly
Solr Integration in the Anserini Information Retrieval Toolkit
Ryan Clancy
|
Toke Eskildsen
|
Nick Ruest
|
Jimmy Lin
Parrot: A Python-based Interactive Platform for Information Retrieval Research
Xinhui Tu
|
Jimmy X. Huang
|
Jing Luo
|
Runjie Zhu
|
Tingting He
An Open-Access Platform for Transparent and Reproducible Structured Searching
Tony Russell-Rose
|
Jon Chamberlain
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching
Jiafeng Guo
|
Yixing Fan
|
Xiang Ji
|
Xueqi Cheng
AgentBuddy: an IR System based on Bandit Algorithms to Reduce Cognitive Load for Customer Care Agents
Hrishikesh Ganu
|
Mithun Ghosh
|
Freddy Jose
|
Shashi Roshan
AliISA: Creating an Interactive Search Experience in E-commerce Platforms
Fei Xiao
|
Zhen Wang
|
Haikuan Huang
|
Jun Huang
|
Xi Chen
|
Hongbo Deng
|
Minghui Qiu
|
Xiaoli Gong
SCSS-LIE: A Novel Synchronous Collaborative Search System with a Live Interactive Engine
Junyan Wang
|
Peng Zhang
|
Cheng Zhang
|
Dawei Song
Information Retrieval Meets Scalable Text Analytics: Solr Integration with Spark
Ryan Clancy
|
Jaejun Lee
|
Zeynep Akkalyoncu Yilmaz
|
Jimmy Lin
Social Knowledge Graph Explorer
Omar Alonso
|
Vasileios Kandylas
|
Serge-Eric Tremblay
cwl_eval: An Evaluation Tool for Information Retrieval
Leif Azzopardi
|
Paul Thomas
|
Alistair Moffat
TrecTools: an Open-source Python Library for Information Retrieval Practitioners Involved in TREC-like Campaigns
João R. M. Palotti
|
Harrisen Scells
|
Guido Zuccon
Automatic Curation of Content Tables for Educational Videos
Arpan Mukherjee
|
Shubhi Tiwari
|
Tanya Chowdhury
|
Tanmoy Chakraborty
Explanatory and Actionable Debugging for Machine Learning: A TableQA Demonstration
Minseok Cho
|
Gyeongbok Lee
|
Seung-won Hwang
A Pipeline for Disaster Response and Relief Coordination
Pranav Maneriker
|
Nikhita Vedula
|
Hussein S. Al-Olimat
|
Jiayong Liang
|
Omar El-Khoury
|
Ethan J. Kubatko
|
Desheng Liu
|
Krishnaprasad Thirunarayan
|
Valerie L. Shalin
|
Amit P. Sheth
|
Srinivasan Parthasarathy
Event Tracker: A Text Analytics Platform for Use During Disasters
Charles Thomas
|
Richard McCreadie
|
Iadh Ounis
KANDINSKY: Abstract Art-Inspired Visualization of Social Discussions
Christina Lui
|
Sourav S. Bhowmick
|
Adam Jatowt
EXACT: Attributed Entity Extraction By Annotating Texts
Ke Chen
|
Lei Feng
|
Qingkuang Chen
|
Gang Chen
|
Lidan Shou
Expert-Guided Entity Extraction using Expressive Rules
Mayank Kejriwal
|
Runqi Shao
|
Pedro A. Szekely
An Experimentation Platform for Precision Medicine
Vincent Nguyen
|
Sarvnaz Karimi
|
Brian Jin
WestSearch Plus: A Non-factoid Question-Answering System for the Legal Domain
Gayle McElvain
|
George Sanchez
|
Seán Matthews
|
Don Teo
|
Filippo Pompili
|
Tonya Custis
Demonstrating Requirement Search on a University Degree Search Application
Nicholas Mendez
|
Kyle De Freitas
|
Inzamam Rahaman
Alexa, Can You Help Me Shop?
Yoelle Maarek
Challenges in Search on Streaming Services: Netflix Case Study
Sudarshan Lamkhede
|
Sudeep Das
Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms
Ferhan Türe
|
Jinfeng Rao
|
Raphael Tang
|
Jimmy Lin
Ghosting: Contextualized Query Auto-Completion on Amazon Search
Lakshmi Ramachandran
|
Uma Murthy
Simulacra and Selection: Clothing Set Recommendation at Stitch Fix
Kevin Zielnicki
Searching for Communities: a Facebook Way
Viet Ha-Thuc
|
Srinath Aaleti
|
Rongda Zhu
|
Nade Sritanyaratana
|
Corey Chen
From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search
Rui Li
|
Yunjiang Jiang
|
Wenyun Yang
|
Guoyu Tang
|
Songlin Wang
|
Chaoyi Ma
|
Wei He
|
Xi Xiong
|
Yun Xiao
|
Yihong Eric Zhao
Beyond Keyword Targeting: An End-to-End Ad Retrieval Framework for Sponsored Search
Xiao Yang
|
Zhi Guo
|
Zongyao Ding
Nobody Said it Would be Easy: A Decade of R&D Projects in Information Access from Thomson over Reuters to Refinitiv
Jochen L. Leidner
Family History Discovery through Search at Ancestry
Peng Jiang
|
Yingrui Yang
|
Gann Bierner
|
Fengjie Alex Li
|
Ruhan Wang
|
Azadeh Moghtaderi
USEing Transfer Learning in Retrieval of Statistical Data
Anton Firsov
|
Vladimir Bugay
|
Anton Karpenko
Find Relevant Cases in All Cases: Your Journey at Doctrine
Nicolas Fiorini
Non-factoid Question Answering in the Legal Domain
Gayle McElvain
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George Sanchez
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Don Teo
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Tonya Custis
Looking for Opportunities: Challenges in Procurement Search
Stuart Mackie
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David Macdonald
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Leif Azzopardi
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Yashar Moshfeghi
Effective Online Evaluation for Web Search
Alexey Drutsa
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Gleb Gusev
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Eugene Kharitonov
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Denis Kulemyakin
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Pavel Serdyukov
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Igor Yashkov
Building Economic Models and Measures of Search
Leif Azzopardi
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Alistair Moffat
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Paul Thomas
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Guido Zuccon
Fairness and Discrimination in Retrieval and Recommendation
Michael D. Ekstrand
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Robin Burke
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Fernando Diaz
Deep Natural Language Processing for Search Systems
Weiwei Guo
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Huiji Gao
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Jun Shi
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Bo Long
Extracting, Mining and Predicting Users' Interests from Social Networks
Fattane Zarrinkalam
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Hossein Fani
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Ebrahim Bagheri
Web Table Extraction, Retrieval and Augmentation
Shuo Zhang
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Krisztian Balog
Example-based Search: a New Frontier for Exploratory Search
Matteo Lissandrini
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Davide Mottin
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Themis Palpanas
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Yannis Velegrakis
Deep Chit-Chat: Deep Learning for Chatbots
Wei Wu
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Rui Yan
Learning to Quantify: Estimating Class Prevalence via Supervised Learning
Alejandro Moreo
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Fabrizio Sebastiani
SIGIR 2019 Tutorial on Explainable Recommendation and Search
Yongfeng Zhang
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Jiaxin Mao
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Qingyao Ai
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning
Claudio Lucchese
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Franco Maria Nardini
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Rama Kumar Pasumarthi
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Sebastian Bruch
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Michael Bendersky
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Xuanhui Wang
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Harrie Oosterhuis
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Rolf Jagerman
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Maarten de Rijke
ECOM'19: The SIGIR 2019 Workshop on eCommerce
Jon Degenhardt
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Surya Kallumadi
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Utkarsh Porwal
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Andrew Trotman
Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR)
Alexandra Olteanu
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Jean Garcia-Gathright
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Maarten de Rijke
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Michael D. Ekstrand
ROME 2019: Workshop on Reducing Online Misinformation Exposure
Guillaume Bouchard
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Guido Caldarelli
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Vassilis Plachouras
Third International Workshop on Recent Trends in News Information Retrieval (NewsIR'19)
Dyaa Albakour
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Miguel Martinez
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Sylvia Tippmann
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Ahmet Aker
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Jonathan Stray
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Shiri Dori-Hacohen
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Alberto Barrón-Cedeño
The SIGIR 2019 Open-Source IR Replicability Challenge (OSIRRC 2019)
Ryan Clancy
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Nicola Ferro
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Claudia Hauff
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Jimmy Lin
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Tetsuya Sakai
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Ze Zhong Wu
WCIS 2019: 1st Workshop on Conversational Interaction Systems
Abhinav Rastogi
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Alexandros Papangelis
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Rahul Goel
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Chandra Khatri
EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search
Yongfeng Zhang
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Yi Zhang
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Min Zhang
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Chirag Shah
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019)
Muthu Kumar Chandrasekaran
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Philipp Mayr
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Michihiro Yasunaga
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Dayne Freitag
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Dragomir R. Radev
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Min-Yen Kan
Dynamic Content Monitoring and Exploration using Vector Spaces
Benyou Wang
Characterizing the Stages of Complex Tasks
Jiqun Liu
Ranking Robustness In Adversarial Retrieval Settings
Gregory Goren
Event Information Retrieval from Text
Rashmi Sankepally
Implicit Entity Recognition, Classification and Linking in Tweets
Hawre Hosseini
Biomedical Heterogeneous Data Integration and Rank Retrieval using Data Bridges
Priya Deshpande
From Query Variations To Learned Relevance Modeling
Binsheng Liu
Multimodal Data Fusion with Quantum Inspiration
Qiuchi Li
Document Distance Metric Learning in an Interactive Exploration Process
Marco Wrzalik
Measuring Job Search Effectiveness
Alfan Farizki Wicaksono
Informing the Design of Conversational IR Systems: Framework and Result Presentation
Souvick Ghosh
Evaluating Risk-Sensitive Text Retrieval
Rodger Benham
Efficient and Effective Text-Annotation through Active Learning
Markus Zlabinger
A Domain-Independent and Multilingual Approach for Crisis Event Detection and Understanding
Hernan Sarmiento