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TREC: Common Core

Shared Task Website

Overview papers:

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TREC 2017 Common Core Track Overview
James Allan | Donna Harman | Evangelos Kanoulas | Dan Li | Christophe Van Gysel | Ellen M. Voorhees

Participant papers:

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ICTNET at TREC 2017 Common Core Track
Xu Chang | Liying Jiao | Jinlong Liu | Weijian Zhu | Yuanhai Xue | Li Zha | Yue Liu | Xueqi Cheng

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ILPS at TREC 2017 Common Core Track
Christophe Van Gysel | Dan Li | Evangelos Kanoulas

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IMS @ TREC 2017 Core Track
Nicola Ferro

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MRG_UWaterloo and WaterlooCormack Participation in the TREC 2017 Common Core Track
Maura R. Grossman | Gordon V. Cormack

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RMIT at the 2017 TREC CORE Track
Rodger Benham | Luke Gallagher | Joel M. Mackenzie | Tadele Tedla Damessie | Ruey-Cheng Chen | Falk Scholer | Alistair Moffat | J. Shane Culpepper

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Tarragon Consulting at TREC 2017: Common Core Track
Richard M. Tong

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Evaluating Axiomatic Retrieval Models in the Core Track
Yue Wang | Peilin Yang | Hui Fang

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UMass at TREC 2017 Common Core Track
Qingyao Ai | Hamed Zamani | Stephen M. Harding | Shahrzad Naseri | James Allan | W. Bruce Croft

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UWaterlooMDS at the TREC 2017 Common Core Track
Haotian Zhang | Mustafa Abualsaud | Nimesh Ghelani | Angshuman Ghosh | Mark D. Smucker | Gordon V. Cormack | Maura R. Grossman

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MRG_UWaterloo and WaterlooCormack Participation in the TREC 2017 Common Core Track
Maura R. Grossman | Gordon V. Cormack

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Webis at TREC 2017: Open Search and Core Tracks
Matthias Hagen | Yamen Ajjour | Johannes Kiesel | Payam Adineh | Benno Stein

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TREC: Precision Medicine

Shared Task Website

Overview papers:

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Overview of the TREC 2017 Precision Medicine Track
Kirk Roberts | Dina Demner-Fushman | Ellen M. Voorhees | William R. Hersh | Steven Bedrick | Alexander J. Lazar | Shubham Pant

Participant papers:

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Customizing a Variant Annotation-Support Tool: an Inquiry into Probability Ranking Principles for TREC Precision Medicine
Emilie Pasche | Julien Gobeill | Luc Mottin | Anaïs Mottaz | Douglas Teodoro | Paul Van Rijen | Patrick Ruch

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CBNU at TREC 2017 Precision Medicine Track
Seung-Hyeon Jo | Kyung-Soon Lee

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CSIRO at 2017 TREC Precision Medicine Track
Vincent Nguyen | Sarvnaz Karimi | Sara Falamaki | Diego Mollá Aliod | Cécile Paris | Stephen Wan

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ETH Zurich at TREC Precision Medicine 2017
Negar Foroutan Eghlidi | Jannick Griner | Nicolas Mesot | Leandro von Werra | Carsten Eickhoff

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HokieGo at 2017 PM Task: Genetic Programming based re-ranking method In Biomedical Information Retrieval
Junyan Wu | Xiaofu Ma | Weiguo Fan

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TREC 2017 Precision Medicine - Medical University of Graz
Pablo López-García | Michel Oleynik | Zdenko Kasác | Stefan Schulz

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Leveraging both Structured and Unstructured Data for Precision Information Retrieval
Yanshan Wang | Ravikumar Komandur Elayavilli | Majid Rastegar-Mojarad | Hongfang Liu

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Retrieving documents based on gene name variations: MedIER at TREC 2017 Precision Medicine Track
Tong Yin | Danny T. Y. Wu | V. G. Vinod Vydiswaran

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Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia
Piotr Przybyla | Axel J. Soto | Sophia Ananiadou

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POZNAN Contribution to TREC PM 2017
Artur Cieslewicz | Jakub Dutkiewicz | Czeslaw Jedrzejek

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A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching
Yuan Ling | Sadid A. Hasan | Michele Filannino | Kevin P. Buchan | Kahyun Lee | Joey Liu | William Boag | Di Jin | Özlem Uzuner | Kathy Lee | Vivek V. Datla | Ashequl Qadir | Oladimeji Farri

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Patient selection for clinical trials based on concept-based retrieval and result filtering and ranking
Johannes Leveling

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Ranking Clinical Trials Using Elasticsearch
Ajinkya Yogesh Thorve | Haimonti Dutta

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UCAS at TREC-2017 Precision Medicine Track
Canjia Li | Ben He | Yingfei Sun | Jungang Xu

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UD_GU_BioTM at TREC 2017: Precision Medicine Track
A. S. M. Ashique Mahmood | Gang Li | Shruti Rao | Peter B. McGarvey | Cathy H. Wu | Subha Madhavan | K. Vijay-Shanker

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Combining Term-based and Concept-based Representation for Clinical Retrieval
Yue Wang | Hui Fang

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Team UKNLP at TREC 2017 Precision Medicine Track: A Knowledge-Based IR System with Tuned Query-Time Boosting
Jiho Noh | Ramakanth Kavuluru

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UNT Precision Medicine Information Retrieval at TREC 2017
Lokesh Kumar Viswavarapu | Jiangping Chen | Ana D. Cleveland | Haihua Chen

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UTD HLTRI at TREC 2017: Precision Medicine Track
Travis R. Goodwin | Michael A. Skinner | Sanda M. Harabagiu

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TREC: Real-time Summarization

Shared Task Website

Overview papers:

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Overview of the TREC 2017 Real-Time Summarization Track
Jimmy Lin | Salman Mohammed | Royal Sequiera | Luchen Tan | Nimesh Ghelani | Mustafa Abualsaud | Richard McCreadie | Dmitrijs Milajevs | Ellen M. Voorhees

Participant papers:

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Summarizing tweet in real-time by filtering quality, relevant and non redundant tweets
Bilel Moulahi | Lamjed Ben Jabeur | Rafik Abbes | Lynda Tamine

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BJUT at TREC 2017: Real-Time Summarization Track
Qingwei Meng | Kai Wang | Zhen Yang

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HLJIT at TREC 2017 Real-Time Summarization
Zhongyuan Han | Song Li | Leilei Kong | Liuyang Tian | Haoliang Qi

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ICTNET at TREC 2017 Real-Time Summarization Track
Xiao Wang | Pengcheng Fan | Liang Cheng | Guoliang Xing | Zhihua Yu | Xueqi Cheng

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IRIT at TREC Real-Time Summarization 2017
Abdelhamid Chellal | Mohand Boughanem

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Some thoughts from IRIT about the scenario A of the TREC RTS 2016 and 2017 tracks
Gilles Hubert | José G. Moreno | Karen Pinel-Sauvagnat | Yoann Pitarch

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NOVASearch at TREC 2017 Real-Time Summarization Track
Gustavo Gonçalves | Flávio Martins | João Magalhães

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PKUICST at TREC 2017 Real-Time Summarization Track: Push Notifications and Email Digest
Jizhi Tang | Chao Lv | Lili Yao | Dongyan Zhao

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Recognizing Tweet Relevance with Profile-specific and Profile-independent Supervised Models
Kathy Lee | Ashequl Qadir | Yuan Ling | Joey Liu | Sadid A. Hasan | Vivek V. Datla | Aaditya Prakash | Oladimeji Farri

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Exploiting Live Feedback for Tweet Real-time Push Notifications
Reem Suwaileh | Tamer Elsayed

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NOVASearch at TREC 2017 Real-Time Summarization Track
Gustavo Gonçalves | Flávio Martins | João Magalhães

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Fast NLP-based Pattern Matching in Real Time Tweet Recommendation
Zheng Gao | John Wolohan

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Silent Day Detection in Real-Time Summarization Track
Kuang Lu | Peilin Yang | Hui Fang

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CLEF: LifeCLEF

Shared Task Website

Participant papers:

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LifeCLEF Bird Identification Task 2017
Hervé Goëau | Hervé Glotin | Willem-Pier Vellinga | Bob Planqué | Alexis Joly

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Plant Identification Based on Noisy Web Data: the Amazing Performance of Deep Learning (LifeCLEF 2017)
Hervé Goëau | Pierre Bonnet | Alexis Joly

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Plant Identification with Large Number of Classes: SabanciU-GebzeTU System in PlantCLEF 2017
Sara Atito | Berrin A. Yanikoglu | Erchan Aptoula

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A Multi-modal Deep Neural Network approach to Bird-song Identication
Botond Fazekas | Alexander Schindler | Thomas Lidy

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Recognizing Bird Species in Audio Files Using Transfer Learning
Andreas Fritzler | Sven Koitka | Christoph M. Friedrich

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Residual Network with Delayed Max Pooling for Very Large Scale Plant Identification
Siang Thye Hang | Masaki Aono

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Automatic Whale Matching System using Feature Descriptor
S. M. Jaisakthi | Palaniappan Mirunalini | Rutuja Jadhav

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Large-Scale Bird Sound Classification using Convolutional Neural Networks
Stefan Kahl | Thomas Wilhelm-Stein | Hussein Hussein | Holger Klinck | Danny Kowerko | Marc Ritter | Maximilian Eibl

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Image-based Plant Species Identification with Deep Convolutional Neural Networks
Mario Lasseck

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LifeClef 2017 Plant Identification Challenge: Classifying Plants using Generic-Organ Correlation Features
Sue Han Lee | Yang Loong Chang | Chee Seng Chan

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Improving Model Performance for Plant Image Classification With Filtered Noisy Images
Andreas R. Ludwig | Helga Piorek | Andreas H. Kelch | David Rex | Sven Koitka | Christoph M. Friedrich

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Image Matching for Individual Recognition with SIFT, RANSAC and MCL
Dávid Papp | Ferenc Mogyorósi | Gábor Szücs

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Audio Bird Classification with Inception-v4 extended with Time and Time-Frequency Attention Mechanisms
Antoine Sevilla | Hervé Glotin

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UPB HES SO @ PlantCLEF 2017: Automatic Plant Image Identification using Transfer Learning via Convolutional Neural Networks
Alexandru Toma | Liviu-Daniel Stefan | Bogdan Ionescu

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Marine Animal Detection and Recognition with Advanced Deep Learning Models
Peiqin Zhuang | Linjie Xing | Yanlin Liu | Sheng Guo | Yu Qiao

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Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition
Milan Sulc | Jiri Matas

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CLEF: PAN Lab on Digital Text Forensics

Shared Task Website

Overview papers:

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Overview of the Author Obfuscation Task at PAN 2017: Safety Evaluation Revisited
Matthias Hagen | Martin Potthast | Benno Stein

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Overview of the 5th Author Profiling Task at PAN 2017: Gender and Language Variety Identification in Twitter
Francisco Manuel Rangel Pardo | Paolo Rosso | Martin Potthast | Benno Stein

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Overview of the Author Identification Task at PAN-2017: Style Breach Detection and Author Clustering
Michael Tschuggnall | Efstathios Stamatatos | Ben Verhoeven | Walter Daelemans | Günther Specht | Benno Stein | Martin Potthast

Participant papers:

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Author Profiling, instance-based Similarity Classification
Yaritza Adame Arcia | Daniel Castro-Castro | Reynier Ortega Bueno | Rafael Muñoz

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Twitter Author Profiling Using Word Embeddings and Logistic Regression
Liliya Akhtyamova | John Cardiff | Andrey Ignatov

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Author clustering with the Aid of a Simple Distance Measure
Houda Alberts

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Arabic Tweeps Gender and Dialect Prediction
Khaled Alrifai | Ghaida Rebdawi | Nada Ghneim

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Author Masking using Sequence-to-Sequence Models
Oleg Yu. Bakhteev | Andrey Khazov

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N-GrAM: New Groningen Author-profiling Model
Angelo Basile | Gareth Dwyer | Maria Medvedeva | Josine Rawee | Hessel Haagsma | Malvina Nissim

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Discovering Author Groups using a B-compact graph-based Clustering
Yasmany García-Mondeja | Daniel Castro-Castro | Vania Lavielle-Castro | Rafael Muñoz

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Author Masking by Sentence Transformation
Daniel Castro-Castro | Reynier Ortega Bueno | Rafael Muñoz

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Including Dialects and Language Varieties in Author Profiling
Alina Maria Ciobanu | Marcos Zampieri | Shervin Malmasi | Liviu P. Dinu

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Subword-based Deep Averaging Networks for Author Profiling in Social Media
Marc Franco-Salvador | Nataliia Plotnikova | Neha Pawar | Yassine Benajiba

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Author Clustering using Hierarchical Clustering Analysis
Helena Gómez-Adorno | Yuridiana Alemán | Darnes Vilariño Ayala | Miguel A. Sanchez-Perez | David Pinto | Grigori Sidorov

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Author Clustering based on Compression-based Dissimilarity Scores
Oren Halvani | Lukas Graner

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OPI-JSA at CLEF 2017: Author Clustering and Style Breach Detection
Daniel Karas | Martyna Spiewak | Piotr Sobecki

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Author Profile Prediction Using Trend and Word Frequency Based Analysis in Text
Jamal Ahmad Khan

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Style Breach Detection: An Unsupervised Detection Model
Jamal Ahmad Khan

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INSA LYON and UNI PASSAU's Participation at PAN@CLEF'17: Author Profiling task
Guillaume Kheng | Léa Laporte | Michael Granitzer

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UniNE at CLEF 2017: Author Profiling Reasoning
Mirco Kocher | Jacques Savoy

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Author Profiling with Bidirectional RNNs using Attention with GRUs
Don Kodiyan | Florin Hardegger | Stephan Neuhaus | Mark Cieliebak

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Social-Media Users can be profiled by their Similarity with other Users
Adrián Pastor López-Monroy | Manuel Montes-y-Gómez | Hugo Jair Escalante | Luis Villaseñor Pineda | Thamar Solorio

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Language- and Subtask-Dependent Feature Selection and Classifier Parameter Tuning for Author Profiling
Ilia Markov | Helena Gómez-Adorno | Grigori Sidorov

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PAN 2017: Author Profiling - Gender and Language Variety Prediction
Matej Martinc | Iza Skrjanec | Katja Zupan | Senja Pollak

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Author Profiling with Word+Character Neural Attention Network
Yasuhide Miura | Tomoki Taniguchi | Motoki Taniguchi | Tomoko Ohkuma

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PAN 2017: Author Profiling - Gender and Language Variety Prediction
Matej Martinc | Iza Skrjanec | Katja Zupan | Senja Pollak

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Using Character n-grams and Style Features for Gender and Language Variety Classification
Rodrigo Ribeiro Oliveira | Rosalvo Ferreira Oliveira Neto

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Using TF-IDF n-gram and Word Embedding Cluster Ensembles for Author Profiling
Adam Poulston | Zeerak Waseem | Mark Stevenson

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Style Breach Detection with Neural Sentence Embeddings
Kamil Safin | Rita Kuznetsova

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UniNE at CLEF 2017: TF-IDF and Deep-Learning for Author Profiling
Nils Schaetti

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Convolutional Neural Networks for Author Profiling in PAN 2017
Sebastián Sierra | Manuel Montes-y-Gómez | Thamar Solorio | Fabio A. González

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Gender and language-variety Identification with MicroTC
Eric Sadit Tellez | Sabino Miranda-Jiménez | Mario Graff | Daniela Moctezuma

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CLEF: CLEF eHealth Evaluation Lab

Shared Task Website

Overview papers:

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CLEF eHealth 2017 Multilingual Information Extraction task Overview: ICD10 Coding of Death Certificates in English and French
Aurélie Névéol | Aude Robert | Robert Anderson | Kevin Bretonnel Cohen | Cyril Grouin | Thomas Lavergne | Grégoire Rey | Claire Rondet | Pierre Zweigenbaum

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CLEF 2017 Technologically Assisted Reviews in Empirical Medicine Overview
Evangelos Kanoulas | Dan Li | Leif Azzopardi | René Spijker

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CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search
João R. M. Palotti | Guido Zuccon | Jimmy | Pavel Pecina | Mihai Lupu | Lorraine Goeuriot | Liadh Kelly | Allan Hanbury

Participant papers:

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NoNLP: Annotating Medical Domain by using Semantic Technologies
Ghislain Auguste Atemezing

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SIBM at CLEF eHealth Evaluation Lab 2017: Multilingual Information Extraction with CIM-IND
Chloé Cabot | Lina Fatima Soualmia | Stéfan Jacques Darmoni

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A Lexicon Based Approach to Classification of ICD10 Codes. IMS Unipd at CLEF eHealth Task 1
Giorgio Maria Di Nunzio | Federica Beghini | Federica Vezzani | Geneviève Henrot

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Fusion Methods for ICD10 Code Classification of Death Certificates in Multilingual Corpora
Mike Ebersbach | Robert Herms | Maximilian Eibl

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LITL at CLEF eHealth2017: Automatic Classification of Death Reports
Lydia-Mai Ho-Dac | Cécile Fabre | Anouk Birski | Imane Boudraa | Aline Bourriot | Manon Cassier | Léa Delvenne | Charline Garcia-Gonzalez | Eun-Bee Kang | Elisa Piccinini | Camille Rohrbacher | Aure Séguier

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Automatic Coding of Death Certificates to ICD-10 Terminology
Jitendra Jonnagaddala | Feiyan Hu

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KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks
Zulfat Miftahutdinov | Elena Tutubalina

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Multi-lingual ICD-10 Coding using a Hybrid rule-based and Supervised Classification Approach at CLEF eHealth 2017
Jurica Seva | Madeleine Kittner | Roland Roller | Ulf Leser

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ICD10 Coding of Death Certificates with the NCBO and SIFR Annotator(s) at CLEF eHealth 2017 Task 1
Andon Tchechmedjiev | Amine Abdaoui | Vincent Emonet | Clément Jonquet

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Multiple Methods for Multi-class, Multi-label ICD-10 Coding of Multi-granularity, Multilingual Death Certificates
Pierre Zweigenbaum | Thomas Lavergne

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Ranking Abstracts to Identify Relevant Evidence for Systematic Reviews: The University of Sheffield's Approach to CLEF eHealth 2017 Task 2
Amal Alharbi | Mark Stevenson

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SiS at CLEF 2017 eHealth TAR Task
Leif Azzopardi | Vassil Kalphov | Georgios Georgiadis

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ECNU at 2017 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine
Jiayi Chen | Su Chen | Yang Song | Hongyu Liu | Yueyao Wang | Qinmin Hu | Liang He

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Technology-Assisted Review in Empirical Medicine: Waterloo Participation in CLEF eHealth 2017
Gordon V. Cormack | Maura R. Grossman

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An Interactive Two-Dimensional Approach to Query Aspects Rewriting in Systematic Reviews. IMS Unipd At CLEF eHealth Task 2
Giorgio Maria Di Nunzio | Federica Beghini | Federica Vezzani | Geneviève Henrot

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A Study of Convolutional Neural Networks for Clinical Document Classification in Systematic Reviews: SysReview at CLEF eHealth 2017
Grace Eunkyung Lee

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LIMSI@CLEF eHealth 2017 Task 2: Logistic Regression for Automatic Article Ranking
Christopher R. Norman | Mariska M. G. Leeflang | Aurélie Névéol

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QUT ielab at CLEF 2017 Technology Assisted Reviews Track: Initial Experiments with Learning To Rank
Harrisen Scells | Guido Zuccon | Anthony Deacon | Bevan Koopman

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IIIT-H at CLEF eHealth 2017 Task 2: Technologically Assisted Reviews in Empirical Medicine
Jaspreet Singh | Lini Thomas

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Identifying Diagnostic Test Accuracy Publications using a Deep Model
Gaurav Singh | Iain James Marshall | James Thomas | Byron C. Wallace

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Predicting Publication Inclusion for Diagnostic Accuracy Test Reviews Using Random Forests and Topic Modelling
Allard J. van Altena | Sílvia Delgado Olabarriaga

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Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting
Zhe Yu | Tim Menzies

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Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews
Antonios Anagnostou | Athanasios Lagopoulos | Grigorios Tsoumakas | Ioannis P. Vlahavas

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SINAI at CLEF eHealth 2017 Task 3
Manuel Carlos Díaz-Galiano | María Teresa Martín-Valdivia | Salud María Jiménez Zafra | Alberto Andreu-Marín | Luis Alfonso Ureña López

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Ranking and Feedback-based Stopping for Recall-Centric Document Retrieval
Noah Hollmann | Carsten Eickhoff

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QUT ielab at CLEF 2017 e-Health IR Task: Knowledge Base Retrieval for Consumer Health Search
Jimmy | Guido Zuccon | Bevan Koopman

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KISTI at CLEF eHealth 2017 Patient-Centered Information Retrieval Task-1: Improving Medical Document Retrieval with Query Expansion
Heung-Seon Oh | Yuchul Jung

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Exploring Understandability Features to Personalize Consumer Health Search. TUW at CLEF 2017 eHealth
João R. M. Palotti | Navid Rekabsaz

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Task3 Patient-Centred Information Retrieval: Team CUNI
Shadi Saleh | Pavel Pecina

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UB-Botswana Participation to CLEF eHealth IR Challenge 2017: Task 3 (IRTask1 : Ad-hoc Search)
Edwin Thuma | Nkwebi Peace Motlogelwa | Tebo Leburu-Dingalo

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UEvora at CLEF eHealth 2017 Task 3
Hua Yang | Teresa Gonçalves

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CLEF: ImageCLEF

Shared Task Website

Overview papers:

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Overview of ImageCLEF 2017 Population Estimation (Remote) task
Helbert Arenas | Md Bayzidul Islam | Josiane Mothe

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Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization
Duc-Tien Dang-Nguyen | Luca Piras | Michael Riegler | Giulia Boato | Liting Zhou | Cathal Gurrin

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Overview of the ImageCLEF 2017 Tuberculosis Task - Predicting Tuberculosis Type and Drug Resistances
Yashin Dicente Cid | Alexander Kalinovsky | Vitali Liauchuk | Vassili Kovalev | Henning Müller

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Overview of ImageCLEFcaption 2017 - Image Caption Prediction and Concept Detection for Biomedical Images
Carsten Eickhoff | Immanuel Schwall | Alba Garcia Seco de Herrera | Henning Müller

Participant papers:

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FabSpaces at ImageCLEF 2017 - Population Estimation (remote) Task
Helbert Arenas | Aurlie Baker | Damian Bargiel | Matthias Becker | Anna Bialczak | Francesco Carbone | Véronique Gaildrat | Sascha Heising | Md Bayzidul Islam | Philippe Lattes | Charalampos Marantos | Colette Menou | Josiane Mothe | Aude Nzeh Ngong | Iosif S. Paraskevas | Miguel Penalver | Paulina Sciana | Dimitrios Soudris

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NLM at ImageCLEF 2017 Caption Task
Asma Ben Abacha | Alba Garcia Seco de Herrera | Soumya Gayen | Dina Demner-Fushman | Sameer K. Antani

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Convolutional Neural Networks for Multidrug-resistant and Drug-sensitive Tuberculosis Distinction
Daniel Braun | Michael Singhof | Martha Tatusch | Stefan Conrad

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BatmanLab in the ImageCLEF Tuberculosis task 2017
Yashin Dicente Cid | Henning Müller | Kayhan Batmanghelich

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A Textual Filtering of HOG-Based Hierarchical Clustering of Lifelog Data
Mihai Dogariu | Bogdan Ionescu

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Application of Deep Learning Neural Network for Classification of TB lung CT Images based on Patches
Xiaohong W. Gao | Yu Qian

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VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization
Ana Garcia del Molino | Bappaditya Mandal | Jie Lin | Joo-Hwee Lim | Vigneshwaran Subbaraju | Vijay Chandrasekhar

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PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks
Sadid A. Hasan | Yuan Ling | Joey Liu | Rithesh Sreenivasan | Shreya Anand | Tilak Raj Arora | Vivek V. Datla | Kathy Lee | Ashequl Qadir | Christine Leon Swisher | Oladimeji Farri

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Sentinel-2 Satellite Imagery based Population Estimation Strategies at FabSpace 2.0 Lab Darmstadt
Md Bayzidul Islam | Matthias Becker | Damian Bargiel | Kazi Rifat Ahmed | Philipp Duzak | Nsikan-George Emana

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Concept Detection on Medical Images using Deep Residual Learning Network
Dimitris Katsios | Ergina Kavallieratou

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Regional Population Estimation Using Satellite Imagery
Aikaterini Koutsouri | Ilektra Skepetari | Konstantinos Anastasakis | Stefanos Lappas

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ISIA at the ImageCLEF 2017 Image Caption Task
Sisi Liang | Xiangyang Li | Yongqing Zhu | Xue Li | Shuqiang Jiang

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ImageCLEF 2017: Supervoxels and Co-occurrence for Tuberculosis CT Image Classification
Vitali Liauchuk | Vassili Kovalev

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Neural Captioning for the ImageCLEF 2017 Medical Image Challenges
David Lyndon | Ashnil Kumar | Jinman Kim

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IRIT & MISA at Image CLEF 2017 - Multi Label Classification
Nomena Ny Hoavy | Josiane Mothe | Mamitiana Ignace Randrianarivony

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Keyword Generation for Biomedical Image Retrieval with Recurrent Neural Networks
Obioma Pelka | Christoph M. Friedrich

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Towards Representation Learning for Biomedical Concept Detection in Medical Images: UA.PT Bioinformatics in ImageCLEF 2017
Eduardo Pinho | João Figueira Silva | Jorge Miguel Silva | Carlos Costa

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Convolutional Expectation Maximization for Population Estimation
Andrea Pomente | David Aleandri

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A Cross-Modal Concept Detection and Caption Prediction Approach in ImageCLEFcaption Track of ImageCLEF 2017
Mahmudur Rahman | Terrance Lagree | Martina Taylor

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3D-CNN in Drug Resistance Detection and Tuberculosis Classification
João Figueira Silva | Jorge Miguel Silva | Eduardo Pinho | Carlos Costa

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Finding and Classifying Tuberculosis Types for a Targeted Treatment: MedGIFT-UPB Participation in the ImageCLEF 2017 Tuberculosis Task
Liviu-Daniel Stefan | Yashin Dicente Cid | Oscar Alfonso Jiménez del Toro | Bogdan Ionescu | Henning Müller

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Generating Captions for Medical Images with a Deep Learning Multi-hypothesis Approach: ImageCLEF 2017 Caption Task
Liviu-Daniel Stefan | Bogdan Ionescu | Henning Müller

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ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission
Jiamei Sun | Penny Chong | Yi Xiang Marcus Tan | Alexander Binder

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IPL at ImageCLEF 2017 Concept Detection Task
Leonidas Valavanis | Spyridon Stathopoulos

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Organizer Team at ImageCLEFlifelog 2017: Baseline Approaches for Lifelog Retrieval and Summarization
Liting Zhou | Luca Piras | Michael Riegler | Giulia Boato | Duc-Tien Dang-Nguyen | Cathal Gurrin

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CLEF: Early risk prediction on the Internet

Shared Task Website

Overview papers:

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CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations
David E. Losada | Fabio Crestani | Javier Parapar

Participant papers:

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Temporal Variation of Terms as Concept Space for Early Risk Prediction
Marcelo Luis Errecalde | Maria Paula Villegas | Darío Gustavo Funez | Maria José Garciarena Ucelay | Leticia Cecilia Cagnina

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Detecting Early Risk of Depression from Social Media User-generated Content
Hayda Almeida | Antoine Briand | Marie-Jean Meurs

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UACH-INAOE participation at eRisk2017
Alan Alexis Farias-Anzaldua | Manuel Montes-y-Gómez | Adrián Pastor López-Monroy | Luis Carlos González-Gurrola

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IRIT at e-Risk
Idriss Abdou Malam | Mohamed Arziki | Mohammed Nezar Bellazrak | Farah Benamara | Assafa El Kaidi | Bouchra Es-Saghir | Zhaolong He | Mouad Housni | Véronique Moriceau | Josiane Mothe | Faneva Ramiandrisoa

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UArizona at the CLEF eRisk 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection
Farig Sadeque | Dongfang Xu | Steven Bethard

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Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression
Marcel Trotzek | Sven Koitka | Christoph M. Friedrich

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UAM's Participation at CLEF eRisk 2017 task: Towards Modelling Depressed Blogers
Esaú Villatoro-Tello | Gabriela Ramírez-de-la-Rosa | Héctor Jiménez-Salazar

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LIDIC - UNSL's Participation at eRisk 2017: Pilot Task on Early Detection of Depression
Maria Paula Villegas | Darío Gustavo Funez | Maria José Garciarena Ucelay | Leticia Cecilia Cagnina | Marcelo Luis Errecalde

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FIRE: Information Retrieval from Microblogs during Disasters

Shared Task Website

Overview papers:

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Overview of the FIRE 2017 track: Information Retrieval from Microblogs during Disasters (IRMiDis)
Moumita Basu | Saptarshi Ghosh | Kripabandhu Ghosh | Monojit Choudhury

Participant papers:

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Detecting the Need for Resources and their Availability
Nelleke Oostdijk | Ali Hürriyetoglu

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BITS_PILANI@IMRiDis-FIRE 2017: Information Retrieval from Microblog during Disasters
Arka Talukdar | Rupal Bhargava | Yashvardhan Sharma

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DataBros@Information Retrieval from Microblogs during Disasters(IRMiDis)
Naveen Kumar | Mradul Dubey

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Automatic Retrieval of Actionable Information from Disaster-related Microblogs
Saloni Baweja | Aniya Aggarwal | Vikram Goyal | Sameep Mehta

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Automatic Identification and Ranking of Emergency Aids in Social Media Macro Community
Bhaskar Gautam | Annappa Basava

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Tweet classification using Semantic Word-Embedding with Logistic Regression
Muhammad Rafi | Saeed Ahmed | Fawwad Ahmed | Fawzan Ahmed

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HLJIT2017-IRMIDIS@IRMiDis-FIRE2017: Information Retrieval from Microblogs during Disasters
Zicheng Zhao | Hui Ning | Ziyao Zhuang | Jinmei Zhao | Jun Li

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A Hybrid Model For Information Retrieval From Microblogs During Disaster
Xin Du | Xiaoyu Wang | Ziyao Zhuang | Limin Qi

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IIT BHU at FIRE 2017 IRMiDis Track - Fully Automatic Approaches to Information Retrieval
Harshit Mehrotra | Ribhav Soni | Sukomal Pal

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Use of the Pole-based Overlapping Clustering Method for Labeling Tweets @ IRMiDis FIRE 2017
Noushin Fadaei | Thomas Mandl

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FIRE: Event Extraction from Newswires and Social Media Text in Indian Languages

Shared Task Website

Overview papers:

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EventXtract-IL: Event Extraction from Social Media Text in Indian Languages @ FIRE 2017 - An Overview
Pattabhi R. K. Rao | Sobha Lalitha Devi

Participant papers:

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An Event Extraction System via Neural Networks
Alapan Kuila | Sudeshna Sarkar

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Event Extraction from Social Media text using Conditional Random Fields
Nagesh Bhattu Sristy | N. Satya Krishna | Durvasula V. L. N. Somayajulu

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KEC_DAlab @ EventXtract-IL-FIRE2017: Event Extraction using Support Vector Machines
Sharmila Devi V | S. Kannimuthu | Safeeq G | Anand Kumar M

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Development of an Event Extraction System from Newswires and Social media texts for Malayalam- An Experiment
K. Manju | Sumam Mary Idicula | S. David Peter

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NTCIR: QALab-3

Overview papers:

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Overview of the NTCIR-13 QA Lab-3 Task
Hideyuki Shibuki | Kotaro Sakamoto | Madoka Ishioroshi | Yoshinobu Kano | Teruko Mitamura | Tatsunori Mori | Noriko Kando

Participant papers:

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HagiwaraLab at the NTCIR-13 QALab-3 Task
Yuanzhi Ke | Masafumi Hagiwara

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KSU Team's QA System for World History Exams at the NTCIR-13 QA Lab-3 Task
Tasuku Kimura | Ryo Tagami | Hisashi Miyamori

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SLQAL at the NTCIR-13 QA Lab-3 Task
Kou Sato | Tetsuya Sakai

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ATA2: A Question Answering System at NTCIR-13 QALab-3
Tao-Hsing Chang | Yu-Sheng Tsai | Chih-Li Tsai | Pei-Xuan Cai

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Rubric-based Automated Japanese Short-answer Scoring and Support System Applied to QALab-3
Tsunenori Ishioka | Kohei Yamaguchi | Tsuneori Mine

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IMTKU Question Answering System for World History Exams at NTCIR-13 QA Lab-3
Min-Yuh Day | Chao-Yu Chen | Wan-Chu Huang | I-Hsuan Huang | Shi-Ya Zheng | Tz-Rung Chen | Min-Chun Kuo | Yue-Da Lin | Yi-Jing Lin

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DGLab Question Answering System and Automatic Evaluation Method at NTCIR-13 QA Lab-3 for University Entrance Exam on World History Essay
Mike Tian-Jian Jiang

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SML Question-Answering System for World History Essay Exams at NTCIR-13 QALab-3
Yusuke Doi | Takuma Takada | Takuya Matsuzaki | Satoshi Sato

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MTMT in QALab-3: World History Essay Question Answering System that Utilizes Textbooks and Open Knowledge Bases
Takaaki Matsumoto | Teruko Mitamura

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CMUQA in QALab-3: Essay Question Answering for University Entrance Exams
Fadi Botros | Francesco Ciannella | Takaaki Matsumoto | Evan Chan | Cheng-Ta Chung | Lucas Bengtson | Keyang Xu | Tian Tian | Teruko Mitamura

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Forst: Question Answering System for Second-stage Examinations at NTCIR-13 QA Lab-3 Task
Kotaro Sakamoto | Madoka Ishioroshi | Yuta Fukuhara | Akihiro Iizuka | Hideyuki Shibuki | Tatsunori Mori | Noriko Kando

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NTCIR: STC-2

Overview papers:

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Overview of the NTCIR-13 Short Text Conversation Task
Lifeng Shang | Tetsuya Sakai | Hang Li | Ryuichiro Higashinaka | Yusuke Miyao | Yuki Arase | Masako Nomoto

Participant papers:

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TUA1 at NTCIR-13 Short Text Conversation 2 Task
Yunong Wu | Xin Kang | Kenji Kita | Fuji Ren

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Nders at NTCIR-13 Short Text Conversation 2 Task
Han Ni | Liansheng Lin | Ge Xu

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YJTI at the NTCIR-13 STC Japanese Subtask
Toru Shimizu

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SLSTC at the NTCIR-13 STC Task
Jun Guan | Tetsuya Sakai

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Beihang at the NTCIR-13 STC-2 Task
Dejian Yang | Yu Wu | Zhoujun Li | Wei Wu | Can Xu

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SRCB at the NTCIR-13 STC-2 Task
Yihan Li | Shanshan Jiang | Lei Ding | Yixuan Tong | Bin Dong

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RUCIR at the NTCIR-13 STC-2 Task
Yutao Zhu | Zhicheng Dou | Xiangbo Wang | Xiaochen Zuo | Shuqi Lu | Zhengyi Ma | Xinyu Zhang

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Response Generation for Grounding in Communication at NTCIR-13 STC Japanese Subtask
Hiroki Tanioka

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KSU Team's Dialogue System at the NTCIR-13 Short Text Conversation Task 2
Yoichi Ishibashi | Sho Sugimoto | Hisashi Miyamori

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KIT Dialogue System for NTCIR-13 STC Japanese Subtask
Hiroshi Nakatani | Shigenori Nishiumi | Takahiro Maeda | Masahiro Araki

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WUST System at NTCIR-13 Short Text Conversation Task
Maofu Liu | Yifan Guo | Yan Yu | Han Ren

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Gbot at the NTCIR-13 STC-2 Task
Hainan Zhang | Tonglei Guo | Yanyan Lan | Jiafeng Guo | Jianing Li | Xueqi Cheng

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Microsoft Research Asia at the NTCIR-13 STC-2 Task
Zhongxia Chen | Hongyan Huang | Dinglong Li | Ruihua Song | Xing Xie

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CIAL System at the NTCIR-13 STC-2 Task
Yung-Chun Chang | Yu-Lun Hsieh | Wen-Lian Hsu

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SG01 at the NTCIR-13 STC-2 Task
Haizhou Zhao | Yi Du | Hang Li | Qiao Qian | Hao Zhou | Minlie Huang | Jingfang Xu

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CYUT-III Short Text Conversation System at NTCIR-13 STC-2 Task
Shih-Hung Wu | Wen-Feng Shih | Che-Cheng Yu | Liang-Pu Chen | Ping-Che Yang

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Report for Japanese subtask for NTCIR-13 STC-2 from mnmlb
Sotaro Takeshita | Ryuji Tamaki | Yasuhiro Minami | Takeru Kazama | Masato Nakamura

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UB at the NTCIR-13 STC-2 Task: Exploring Syntactic Similarities and Sentiments
Jianqiang Wang

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WIDM at NTCIR-13 STC-2
Yu-Han Chen | Sébastien Montella | Wei-Han Chen | Chia-Hui Chang

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splab at the NTCIR-13 STC-2 Task
Xuan Liu | Xueyang Wu | Ruinian Chen | Zijian Zhao | Hongtao Lin | Kai Yu

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DeepIntell at the NTCIR-13 STC-2 Task
Chunyue Zhang | Dongdong Li | Huaxing Shi

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BUPTTeam at the NTCIR-13 STC-2 Task
Songbo Han | Hao Zhu

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CKIP at the NTCIR-13 STC-2 Task
Wei-Yun Ma | Chien-Hui Tseng | Yu-Sheng Li

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Contextual and Feature-based Models by PolyU Team at the NTCIR-13 STC-2 Task
Yanran Li | Hui Su | Wenjie Li

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iNLP at the NTCIR-13 STC-2 Task
Long Qiu | Jingang Wang | Sheng Li | Junfeng Tian | Jun Lang