Shared Tasks (2020)
CLEF: ARQMath
Overview papers:
Overview of ARQMath 2020 (Updated Working Notes Version): CLEF Lab on Answer Retrieval for Questions on Math
Richard Zanibbi
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Douglas W. Oard
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Anurag Agarwal
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Behrooz Mansouri
Participant papers:
An Analysis of Variable-Size Vector Based Approach for Formula Searching
Pankaj Dadure
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Partha Pakray
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Sivaji Bandyopadhyay
DPRL Systems in the CLEF 2020 ARQMath Lab
Behrooz Mansouri
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Douglas W. Oard
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Richard Zanibbi
Dowsing for Math Answers with Tangent-L
Yin Ki Ng
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Dallas J. Fraser
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Besat Kassaie
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George Labahn
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Mirette S. Marzouk
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Frank Wm. Tompa
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Kevin Wang
Three is Better than One: Ensembling Math Information Retrieval Systems
Vít Novotný
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Petr Sojka
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Michal Stefánik
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Dávid Lupták
PSU at CLEF-2020 ARQMath Track: Unsupervised Re-ranking using Pretraining
Shaurya Rohatgi
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Jian Wu
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C. Lee Giles
ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open?
Philipp Scharpf
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Moritz Schubotz
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André Greiner-Petter
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Malte Ostendorff
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Olaf Teschke
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Bela Gipp
CLEF: BioASQ
Overview papers:
Overview of MESINESP, a Spanish Medical Semantic Indexing Task within BioASQ 2020
Carlos Rodríguez Penagos
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Anastasios Nentidis
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Aitor Gonzalez-Agirre
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Alejandro Asensio
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Jordi Armengol-Estapé
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Anastasia Krithara
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Marta Villegas
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Georgios Paliouras
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Martin Krallinger
Overview of BioASQ 2020: The Eighth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Anastasios Nentidis
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Anastasia Krithara
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Konstantinos Bougiatiotis
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Martin Krallinger
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Carlos Rodríguez Penagos
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Marta Villegas
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Georgios Paliouras
Participant papers:
Transfer Learning for Biomedical Question Answering
Arda Akdemir
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Tetsuo Shibuya
Priberam at MESINESP Multi-label Classification of Medical Texts Task
Rúben Cardoso
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Zita Marinho
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Afonso Mendes
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Sebastião Miranda
NCU-IISR: Using a Pre-trained Language Model and Logistic Regression Model for BioASQ Task 8b Phase B
Jen-Chieh Han
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Richard Tzong-Han Tsai
Transferability of Natural Language Inference to Biomedical Question Answering
Minbyul Jeong
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Mujeen Sung
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Gangwoo Kim
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Donghyeon Kim
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Wonjin Yoon
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Jaehyo Yoo
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Jaewoo Kang
Transformer-Based Open Domain Biomedical Question Answering at BioASQ8 Challenge
Ashot Kazaryan
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Uladzislau Sazanovich
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Vladislav Belyaev
Unsupervised Pre-training for Biomedical Question Answering
Vaishnavi Kommaraju
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Karthick Gunasekaran
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Kun Li
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Trapit Bansal
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Andrew McCallum
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Ivana Williams
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Ana-Maria Istrate
Statistical Graph Matching for Indexing Spanish Biomedical Documents
Alicia Lara-Clares
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Ana García-Serrano
Hybrid First-stage Retrieval Models for Biomedical Literature
Ji Ma
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Ivan Korotkov
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Keith B. Hall
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Ryan T. McDonald
Query Focused Multi-document Summarisation of Biomedical Texts
Diego Mollá
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Christopher Jones
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Vincent Nguyen
Extreme Multi-Label Classification applied to the Biomedical and Multilingual Panorama
André Neves
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André Lamúrias
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Francisco M. Couto
AUEB-NLP at BioASQ 8: Biomedical Document and Snippet Retrieval
Dimitris Pappas
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Petros Stavropoulos
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Ion Androutsopoulos
CoLe and LYS at BioASQ MESINESP8 Task: Similarity based Descriptor Assigment in Spanish
Francisco J. Ribadas-Pena
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Shuyuan Cao
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Elmurod Kuriyozov
Query-focused biomedical text summarization in BioASQ 8B
Jainisha Sankhavara
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Prasenjit Majumder
CLEF: ChEMU
Overview papers:
Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents
Jiayuan He
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Dat Quoc Nguyen
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Saber A. Akhondi
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Christian Druckenbrodt
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Camilo Thorne
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Ralph Hoessel
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Zubair Afzal
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Zenan Zhai
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Biaoyan Fang
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Hiyori Yoshikawa
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Ameer Albahem
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Lawrence Cavedon
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Trevor Cohn
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Timothy Baldwin
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Karin Verspoor
An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents
Jiayuan He
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Dat Quoc Nguyen
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Saber A. Akhondi
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Christian Druckenbrodt
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Camilo Thorne
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Ralph Hoessel
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Zubair Afzal
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Zenan Zhai
|
Biaoyan Fang
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Hiyori Yoshikawa
|
Ameer Albahem
|
Jingqi Wang
|
Yuankai Ren
|
Zhi Zhang
|
Yaoyun Zhang
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Mai Hoang Dao
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Pedro Ruas
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Andre Lamurias
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Francisco M. Couto
|
Jenny Copara
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Nona Naderi
|
Julien Knafou
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Patrick Ruch
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Douglas Teodoro
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Daniel M. Lowe
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John Mayfield
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Abdullatif Köksal
|
Hilal Dönmez
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Elif Özkirimli
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Arzucan Özgür
|
Darshini Mahendran
|
Gabrielle Gurdin
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Nastassja Lewinski
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Christina Tang
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Bridget T. McInnes
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C. S. Malarkodi
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Pattabhi Rk Rao
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Sobha Lalitha Devi
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Lawrence Cavedon
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Trevor Cohn
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Timothy Baldwin
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Karin Verspoor
Participant papers:
CLRG ChemNER: A Chemical Named Entity Recognizer @ ChEMU CLEF 2020
C. S. Malarkodi
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Pattabhi Rk Rao
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Sobha Lalitha Devi
Named Entity Recognition in Chemical Patents using Ensemble of Contextual Language Models
Jenny Copara
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Nona Naderi
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Julien Knafou
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Patrick Ruch
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Douglas Teodoro
VinAI at ChEMU 2020: An Accurate System for Named Entity Recognition in Chemical Reactions from Patents
Mai Hoang Dao
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Dat Quoc Nguyen
BOUN-REX at CLEF-2020 ChEMU Task 2: Evaluating Pretrained Transformers for Event Extraction
Hilal Dönmez
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Abdullatif Köksal
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Elif Özkirimli
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Arzucan Özgür
Extraction of Reactions from Patents using Grammars
Daniel M. Lowe
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John Mayfield
NLPatVCU CLEF 2020 ChEMU Shared Task System Description
Darshini Mahendran
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Gabrielle Gurdin
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Nastassja Lewinski
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Christina Tang
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Bridget T. McInnes
LasigeBioTM Team at CLEF2020 ChEMU Evaluation Lab: Named Entity Recognition and Event extraction from chemical reactions described in patents using BioBERT NER and RE
Pedro Ruas
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Andre Lamurias
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Francisco M. Couto
Melaxtech: A report for CLEF 2020 - ChEMU Task of Chemical Reaction Extraction from Patent
Jingqi Wang
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Yuankai Ren
|
Zhi Zhang
|
Yaoyun Zhang
CLEF: CheckThat!
Overview papers:
Overview of CheckThat! 2020i Arabic: Automatic Identification and Verification of Claims in Social Media
Maram Hasanain
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Fatima Haouari
|
Reem Suwaileh
|
Zien Sheikh Ali
|
Bayan Hamdan
|
Tamer Elsayed
|
Alberto Barrón-Cedeño
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Giovanni Da San Martino
|
Preslav Nakov
Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media
Shaden Shaar
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Alex Nikolov
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Nikolay Babulkov
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Firoj Alam
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Alberto Barrón-Cedeño
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Tamer Elsayed
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Maram Hasanain
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Reem Suwaileh
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Fatima Haouari
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Giovanni Da San Martino
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Preslav Nakov
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
Alberto Barrón-Cedeño
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Tamer Elsayed
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Preslav Nakov
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Giovanni Da San Martino
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Maram Hasanain
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Reem Suwaileh
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Fatima Haouari
|
Nikolay Babulkov
|
Bayan Hamdan
|
Alex Nikolov
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Shaden Shaar
|
Zien Sheikh Ali
Participant papers:
QMUL-SDS at CheckThat! 2020 Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions
Rabab Alkhalifa
|
Theodore Yoong
|
Elena Kochkina
|
Arkaitz Zubiaga
|
Maria Liakata
Team Buster.ai at CheckThat! 2020 Insights and Recommendations to Improve Fact-Checking
Mostafa Bouziane
|
Hugo Perrin
|
Aurélien Cluzeau
|
Julien Mardas
|
Amine Sadeq
Check_square at CheckThat! 2020 Claim Detection in Social Media via Fusion of Transformer and Syntactic Features
Gullal S. Cheema
|
Sherzod Hakimov
|
Ralph Ewerth
UAICS at CheckThat! 2020 Fact-checking Claim Prioritization
Ciprian-Gabriel Cusmuliuc
|
Lucia Georgiana Coca
|
Adrian Iftene
bigIR at CheckThat! 2020: Multilingual BERT for Ranking Arabic Tweets by Check-worthiness
Maram Hasanain
|
Tamer Elsayed
DamascusTeam at CheckThat! 2020: Check Worthiness on Twitter with Hybrid CNN and RNN Models
Ahmad Hussein
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Abdulkarim Hussein
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Nada Ghneim
|
Ammar Joukhadar
TOBB ETU at CheckThat! 2020: Prioritizing English and Arabic Claims Based on Check-Worthiness
Yavuz Selim Kartal
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Mücahid Kutlu
SSN_NLP at CheckThat! 2020: Tweet Check Worthiness Using Transformers, Convolutional Neural Networks and Support Vector Machines
Sachin Krishan Thyaharajan
|
Kayalvizhi Sampath
|
Thenmozhi Durairaj
|
Rishivardhan Krishnamoorthy
NLP&IR@UNED at CheckThat! 2020: A Preliminary Approach for Check-Worthiness and Claim Retrieval Tasks using Neural Networks and Graphs
Juan R. Martinez-Rico
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Lourdes Araujo
|
Juan Martínez-Romo
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models
Alex Nikolov
|
Giovanni Da San Martino
|
Ivan Koychev
|
Preslav Nakov
UNIPI-NLE at CheckThat! 2020: Approaching Fact Checking from a Sentence Similarity Perspective Through the Lens of Transformers
Lucia C. Passaro
|
Alessandro Bondielli
|
Alessandro Lenci
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Francesco Marcelloni
TIET at CLEF CheckThat! 2020: Verified Claim Retrieval
Utsav Shukla
|
Aayushmaan Sharma
UB_ET at CheckThat! 2020: Exploring Ad hoc Retrieval Approaches in Verified Claims Retrieval
Edwin Thuma
|
Nkwebi Peace Motlogelwa
|
Tebo Leburu-Dingalo
|
Monkgogi Mudongo
EvolutionTeam at CLEF2020 - CheckThat! lab : Integration of Linguistic and Sentimental Features in a Fake News Detection Approach
Ibtissam Touahri
|
Azzeddine Mazroui
Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of Claims using Transformer-based Models
Evan M. Williams
|
Paul Rodrigues
|
Valerie Novak
CLEF: HIPE
Overview papers:
Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers
Maud Ehrmann
|
Matteo Romanello
|
Alex Flückiger
|
Simon Clematide
Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers
Maud Ehrmann
|
Matteo Romanello
|
Alex Flückiger
|
Simon Clematide
Participant papers:
Robust Named Entity Recognition and Linking on Historical Multilingual Documents
Emanuela Boros
|
Elvys Linhares Pontes
|
Luis Adrián Cabrera-Diego
|
Ahmed Hamdi
|
José G. Moreno
|
Nicolas Sidère
|
Antoine Doucet
Hybrid Statistical and Attentive Deep Neural Approach for Named Entity Recognition in Historical Newspapers
Ghaith Dekhili
|
Fatiha Sadat
IRISA System for Entity Detection and Linking at CLEF HIPE 2020
Cheikh Brahim El Vaigh
|
Guillaume Le Noé-Bienvenu
|
Guillaume Gravier
|
Pascale Sébillot
Experiments from LIMSI at the French Named Entity Recognition Coarse-grained Task
Sahar Ghannay
|
Cyril Grouin
|
Thomas Lavergne
DeLFT and Entity-fishing: Tools for CLEF HIPE 2020 Shared Task
Tanti Kristanti
|
Laurent Romary
Named Entity Disambiguation and Linking Historic Newspaper OCR with BERT
Kai Labusch
|
Clemens Neudecker
Adapting a Pre-Neural Named Entity Recognizer and Linker to Historical Data
Damien Nouvel
|
Jean-Claude Zagabe Seruti
SinNer@Clef-Hipe2020 : Sinful adaptation of SotA models for Named Entity Recognition in French and German
Pedro Javier Ortiz Suárez
|
Yoann Dupont
|
Gaël Lejeune
|
Tian Tian
Named Entity Recognition and Linking on Historical Newspapers: UvA.ILPS & REL at CLEF HIPE 2020
Vera Provatorova
|
Svitlana Vakulenko
|
Evangelos Kanoulas
|
Koen Dercksen
|
Johannes M. van Hulst
Triple E - Effective Ensembling of Embeddings and Language Models for NER of Historical German
Stefan Schweter
|
Luisa März
Transfer Learning for Named Entity Recognition in Historical Corpora
Konstantin Todorov
|
Giovanni Colavizza
CLEF: ImageCLEF
Overview papers:
Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog
Van-Tu Ninh
|
Tu-Khiem Le
|
Liting Zhou
|
Luca Piras
|
Michael Riegler
|
Pål Halvorsen
|
Mathias Lux
|
Minh-Triet Tran
|
Cathal Gurrin
|
Duc-Tien Dang-Nguyen
Overview of the VQA-Med Task at ImageCLEF 2020: Visual Question Answering and Generation in the Medical Domain
Asma Ben Abacha
|
Vivek V. Datla
|
Sadid A. Hasan
|
Dina Demner-Fushman
|
Henning Müller
Overview of the 2020 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn Website UIs
Dimitri Fichou
|
Raul Berari
|
Paul Brie
|
Mihai Dogariu
|
Liviu-Daniel Stefan
|
Mihai Gabriel Constantin
|
Bogdan Ionescu
Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding
Obioma Pelka
|
Christoph M. Friedrich
|
Alba García Seco de Herrera
|
Henning Müller
Overview of the ImageCLEFcoral 2020 Task: Automated Coral Reef Image Annotation
Jon Chamberlain
|
Antonio Campello
|
Jessica P. Wright
|
Louis G. Clift
|
Adrian F. Clark
|
Alba García Seco de Herrera
Overview of ImageCLEFtuberculosis 2020 Automatic CT-based Report Generation
Serge Kozlovski
|
Vitali Liauchuk
|
Yashin Dicente Cid
|
Aleh Tarasau
|
Vassili Kovalev
|
Henning Müller
Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications
Bogdan Ionescu
|
Henning Müller
|
Renaud Péteri
|
Asma Ben Abacha
|
Vivek V. Datla
|
Sadid A. Hasan
|
Dina Demner-Fushman
|
Serge Kozlovski
|
Vitali Liauchuk
|
Yashin Dicente Cid
|
Vassili Kovalev
|
Obioma Pelka
|
Christoph M. Friedrich
|
Alba García Seco de Herrera
|
Van-Tu Ninh
|
Tu-Khiem Le
|
Liting Zhou
|
Luca Piras
|
Michael Riegler
|
Pål Halvorsen
|
Minh-Triet Tran
|
Mathias Lux
|
Cathal Gurrin
|
Duc-Tien Dang-Nguyen
|
Jon Chamberlain
|
Adrian F. Clark
|
Antonio Campello
|
Dimitri Fichou
|
Raul Berari
|
Paul Brie
|
Mihai Dogariu
|
Liviu-Daniel Stefan
|
Mihai Gabriel Constantin
Participant papers:
The Inception Team at VQA-Med 2020: Pretrained VGG with Data Augmentation for Medical VQA and VQG
Aisha Al-Sadi
|
Hana' Al-Theiabat
|
Mahmoud Al-Ayyoub
The Effects of Colour Enhancement and IoU Optimisation on Object Detection and Segmentation of Coral Reef Structures
Marina Arendt
|
Johannes Rückert
|
Raphael Brüngel
|
Christopher Brumann
|
Christoph M. Friedrich
ImageCLEF 2020: Image Caption Prediction using Multilabel Convolutional Neural Network
Sarada Devi Arul
|
Kavitha Srinivasan
ImageCLEF 2020: Deep Learning for Tuberculosis in Chest CT Image Analysis based on multi-axis projections
Tetsuya Asakawa
|
Masaki Aono
Deep Learning based TB Severity Prediction
Ujjwel Balwal
|
Srinivasa Arun Yeragudipati
|
Bhuvana Jayaraman
|
Mirnalinee Thanga Nadar Thanga Thai
Automatic Approach For Lifelog Moments Retrieval using Transfer Learning and Rule-based Matching
Fatma Ben Abdallah
|
Ghada Feki
|
Ons Saadallah
|
Amine Jarraya
|
Chokri Ben Amar
Enhanced Localization and Classification of Coral Reef Structures and Compositions
Kirill Bogomasov
|
Philipp Grawe
|
Stefan Conrad
Chejiao at ImageCLEFmed Tuberculosis 2020: CT Report Generation Based on Transfer learning
Jiao Che
|
Haiyan Ding
|
Xiaobing Zhou
HCP-MIC at VQA-Med 2020: Effective Visual Representation for Medical Visual Question Answering
Guanqi Chen
|
Haifan Gong
|
Guanbin Li
UAIC2020: Lung Analysis for Tuberculosis Detection
Lucia Georgiana Coca
|
Alexandra Hanganu
|
Ciprian-Gabriel Cusmuliuc
|
Adrian Iftene
Essex at ImageCLEFcaption 2020 Task
Alba García Seco de Herrera
|
Francisco Parrilla Andrade
|
Luke Bentley
|
Arely Aceves Compean
Automatic Coral Detection using Neural Networks
Ivan Gruber
|
Jakub Straka
HTML Atomic UI Elements Extraction from Hand-Drawn Website Images using Mask-RCNN and novel Multi-Pass Inference Technique
Prasang Gupta
|
Swayambodha Mohapatra
bumjun_jung at VQA-Med 2020: VQA Model Based on Feature Extraction and Multi-modal Feature Fusion
Bumjun Jung
|
Lin Gu
|
Tatsuya Harada
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
Marimuthu Kalimuthu
|
Fabrizio Nunnari
|
Daniel Sonntag
AUEB NLP Group at ImageCLEFmed Caption 2020
Basil Karatzas
|
John Pavlopoulos
|
Vasiliki Kougia
|
Ion Androutsopoulos
Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data
Tu-Khiem Le
|
Van-Tu Ninh
|
Liting Zhou
|
Minh-Huy Nguyen-Ngoc
|
Huu-Duc Trinh
|
Nguyen-Hien Tran
|
Luca Piras
|
Michael Riegler
|
Pål Halvorsen
|
Mathias Lux
|
Minh-Triet Tran
|
Graham Healy
|
Cathal Gurrin
|
Duc-Tien Dang-Nguyen
SZTAKI @ ImageCLEFmed 2020 Tuberculosis Task
Bence Lestyan
|
András A. Benczúr
|
Bálint Daróczy
AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering
Zhibin Liao
|
Qi Wu
|
Chunhua Shen
|
Anton van den Hengel
|
Johan Verjans
Shengyan at VQA-Med 2020: An Encoder-Decoder Model for Medical Domain Visual Question Answering Task
Shengyan Liu
|
Haiyan Ding
|
Xiaobing Zhou
ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports
Xing Lu
|
Eric Y. Chang
|
Zhaohui Liu
|
Chun-Nan Hsu
|
Jiang Du
|
Amilcare Gentili
Multi-Label and Cross-Modal Based Concept Detection in Biomedical Images by MORGAN_CS at ImageCLEF2020
Oyebisi Layode
|
Md Mahmudur Rahman
Leverage the Predictive Power Score of Lifelog Data's Attributes to Predict the Expected Athlete Performance
Anh-Vu Mai-Nguyen
|
Van-Luon Tran
|
Minh-Son Dao
|
Koji Zettsu
Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data
Radu Miron
|
Cosmin Moisii
|
Mihaela Breaban
Ensemble of Deep Learning Models for Automatic Tuberculosis Diagnosis Using Chest CT Scans: Contribution to the ImageCLEF-2020 Challenges
Abdela Ahmed Mossa
|
Halit Eris
|
Ulus Çevik
Deep Learning for UI Element Detection: DrawnUI 2020
Naveen Narayanan
|
Nitin Nikamanth Appiah Balaji
|
Kavya Jaganathan
ImageCLEF 2020: An approach for Visual Question Answering using VGG-LSTM for Different Datasets
Sheerin Sitara Noor Mohamed
|
Kavitha Srinivasan
Coral Reef Annotation, Localisation and Pixel-wise Classification using Mask-RCNN and Bag of Tricks
Lukás Picek
|
Antonín Ríha
|
Ales Zita
UA.PT Bioinformatics at ImageCLEF 2020: Lifelog Moment Retrieval Web based Tool
Ricardo F. Ribeiro
|
Júlio Silva
|
Alina Trifan
|
José Luís Oliveira
|
António J. R. Neves
NLM at VQA-Med 2020: Visual Question Answering and Generation in the Medical Domain
Mourad Sarrouti
Techniques for Medical Concept Detection from Multi-Modal Images
Rohit Sonker
|
Ayush Mishra
|
Palvika Bansal
|
Anup Pattnaik
Lifelog Moment Retrieval with Self-Attention based Joint Embedding Model
Hoang-Phuc Trang-Trung
|
Hoang-Anh Le
|
Minh-Triet Tran
Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020
Nisnab Udas
|
Frederik Beuth
|
Danny Kowerko
kdevqa at VQA-Med 2020: Focusing on GLU-based Classification
Hideo Umada
|
Masaki Aono
HARENDRAKV at VQA-Med 2020: Sequential VQA with Attention for Medical Visual Question Answering
Harendra Verma
|
Sindhu Ramachandran
Lung-Wise Tuberculosis Analysis and Automatic CT Report Generation with Hybrid Feature and Ensemble Learning
Muhammad Waqas
|
Zeshan Khan
|
Shaheer Anjum
|
Muhammad Atif Tahir
Sketch2Code: Automatic hand-drawn UI Elements Detection with Faster-RCNN
Ales Zita
|
Lukás Picek
|
Antonín Ríha
CLEF: LiLAS
Overview papers:
Overview of LiLAS 2020 - Living Labs for Academic Search
Philipp Schaer
|
Johann Schaible
|
Leyla Jael García Castro
CLEF: LifeCLEF
Overview papers:
Overview of LifeCLEF Plant Identification task 2020
Hervé Goëau
|
Pierre Bonnet
|
Alexis Joly
Overview of the SnakeCLEF 2020: AutomaticSnake Species Identification Challenge
Lukás Picek
|
Isabelle Bolon
|
Andrew Durso
|
Rafael Luis Ruiz De Castañeda
Overview of BirdCLEF 2020: Bird Sound Recognition in Complex Acoustic Environments
Stefan Kahl
|
Mary Clapp
|
W. Alexander Hopping
|
Hervé Goëau
|
Hervé Glotin
|
Robert Planqué
|
Willem-Pier Vellinga
|
Alexis Joly
Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF)
Benjamin Deneu
|
Titouan Lorieul
|
Elijah Cole
|
Maximilien Servajean
|
Christophe Botella
|
Pierre Bonnet
|
Alexis Joly
Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction
Alexis Joly
|
Hervé Goëau
|
Stefan Kahl
|
Benjamin Deneu
|
Maximilien Servajean
|
Elijah Cole
|
Lukás Picek
|
Rafael Luis Ruiz De Castañeda
|
Isabelle Bolon
|
Andrew Durso
|
Titouan Lorieul
|
Christophe Botella
|
Hervé Glotin
|
Julien Champ
|
Ivan Eggel
|
Willem-Pier Vellinga
|
Pierre Bonnet
|
Henning Müller
Participant papers:
Xception Based Method for Bird Sound Recognition of BirdCLEF 2020
Jisheng Bai
|
Chen Chen
|
Jianfeng Chen
Combination of Image and Location Information for Snake Species Identification using Object Detection and EfficientNets
Louise Bloch
|
Adrian Boketta
|
Christopher Keibel
|
Eric Mense
|
Alex Michailutschenko
|
Obioma Pelka
|
Johannes Rückert
|
Leon Willemeit
|
Christoph M. Friedrich
Herbarium-Field Triplet Network for Cross-domain Plant Identification. NEUON Submission to LifeCLEF 2020 Plant
Sophia Chulif
|
Yang Loong Chang
Using Triplet Loss for Bird Species Recognition on BirdCLEF 2020
Thailsson Clementino
|
Juan Colonna
Participation of LIRMM / Inria to the GeoLifeCLEF 2020 Challenge
Benjamin Deneu
|
Maximilien Servajean
|
Pierre Bonnet
|
François Munoz
|
Alexis Joly
Impact of Pretrained Networks For Snake Species Classification
Moorthy Gokula Krishnan
Plant Species Identification Using Transfer Learning - PlantCLEF 2020
Nanda H. Krishna
|
Rakesh M
|
Ram Kaushik R
Bird Species Recognition via Neural Architecture Search
Markus Mühling
|
Jakob Franz
|
Nikolaus Korfhage
|
Bernd Freisleben
Domain Adaptation in the Context of Herbarium Collections: A submission to PlantCLEF 2020
Juan Villacis-Llobet
|
Hervé Goëau
|
Pierre Bonnet
|
Alexis Joly
|
Erick Mata-Montero
CLEF: PAN
Overview papers:
Overview of the Style Change Detection Task at PAN 2020
Eva Zangerle
|
Maximilian Mayerl
|
Günther Specht
|
Martin Potthast
|
Benno Stein
Overview of the Celebrity Profiling Task at PAN 2020
Matti Wiegmann
|
Benno Stein
|
Martin Potthast
Shared Tasks on Authorship Analysis at PAN 2020
Janek Bevendorff
|
Bilal Ghanem
|
Anastasia Giachanou
|
Mike Kestemont
|
Enrique Manjavacas
|
Martin Potthast
|
Francisco M. Rangel Pardo
|
Paolo Rosso
|
Günther Specht
|
Efstathios Stamatatos
|
Benno Stein
|
Matti Wiegmann
|
Eva Zangerle
Overview of the 8th Author Profiling Task at PAN 2020: Profiling Fake News Spreaders on Twitter
Francisco M. Rangel Pardo
|
Anastasia Giachanou
|
Bilal Ghanem
|
Paolo Rosso
Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection
Janek Bevendorff
|
Bilal Ghanem
|
Anastasia Giachanou
|
Mike Kestemont
|
Enrique Manjavacas
|
Ilia Markov
|
Maximilian Mayerl
|
Martin Potthast
|
Francisco M. Rangel Pardo
|
Paolo Rosso
|
Günther Specht
|
Efstathios Stamatatos
|
Benno Stein
|
Matti Wiegmann
|
Eva Zangerle
Participant papers:
KU-CST at the Profiling Fake News spreaders Shared Task
Manex Agirrezabal
A Deep Learning Model to Predict Gender, Age and Occupation of the Celebrities based on Tweets Followers
Roobaea Alroobaea
|
Ahmed H. Almulihi
|
Fahd S. Alharithi
|
Seifeddine Mechti
|
Moez Krichen
|
Lamia Hadrich Belguith
Siamese Network applied to Authorship Verification
Emir Araujo-Pino
|
Helena Gómez-Adorno
|
Gibran Fuentes Pineda
LSACoNet: A Combination of Lexical and Conceptual Features for Analysis of Fake News Spreaders on Twitter
Hamed Babaei Giglou
|
Jafar Razmara
|
Mostafa Rahgouy
|
Mahsa Sanaei
Fake News Spreader Detection using Neural Tweet Aggregation
Oleg Bakhteev
|
Aleksandr Ogaltsov
|
Petr Ostroukhov
Automatic Detection of Fake News Spreaders Using BERT
Arup Baruah
|
Kaushik Amar Das
|
Ferdous A. Barbhuiya
|
Kuntal Dey
Deep Bayes Factor Scoring for Authorship Verification
Benedikt T. Boenninghoff
|
Julian Rupp
|
Robert M. Nickel
|
Dorothea Kolossa
An Ensemble Model Using N-grams and Statistical Features to Identify Fake News Spreaders on Twitter
Jakab Buda
|
Flora Bolonyai
Fake News Spreaders Profiling Through Behavioural Analysis
Matteo Cardaioli
|
Stefano Cecconello
|
Mauro Conti
|
Luca Pajola
|
Federico Turrin
Mixed Style Feature Representation and B-maximal Clustering for Style Change Detection
Daniel Castro-Castro
|
Carlos Alberto Rodríguez-Lozada
|
Rafael Muñoz
Ensemble of ELECTRA for Profiling Fake News Spreaders
Kaushik Amar Das
|
Arup Baruah
|
Ferdous Ahmed Barbhuiya
|
Kuntal Dey
RMIT at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter
Xinhuan Duan
|
Elham Naghizade
|
Damiano Spina
|
Xiuzhen Zhang
Analyzing User Profiles for Detection of Fake News Spreaders on Twitter
María S. Espinosa
|
Roberto Centeno
|
Álvaro Rodrigo
Profiling Fake News Spreaders using Character and Words N-grams
Daniel Yacob Espinosa
|
Helena Gómez-Adorno
|
Grigori Sidorov
Profiling Fake News Spreaders: Stylometry, Personality, Emotions and Embeddings
Elisabetta Fersini
|
Justin Armanini
|
Michael D'Intorni
Authorship Verification with Prediction by Partial Matching and Context-free Grammar
Lukasz Gagala
Cross-Domain Authorship Verification Based on Topic Agnostic Features
Oren Halvani
|
Lukas Graner
|
Roey Regev
Fake News Spreader Identification in Twitter using Ensemble Modeling. Notebook for PAN at CLEF 2020
Ahmad Hashemi
|
Mohammad Reza Zarei
|
Mohammad Reza Moosavi
|
Mohammad Taheri
A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter
Clemens Hörtenhuemer
|
Eva Zangerle
UniNE at PAN-CLEF 2020: Author Verification
Catherine Ikae
Style Change Detection Using BERT
Aarish Iyer
|
Soroush Vosoughi
Higher Criticism as an Unsupervised Authorship Discriminator
Alon Kipnis
Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization
Boshko Koloski
|
Senja Pollak
|
Blaz Skrlj
Know your Neighbors: Efficient Author Profiling via Follower Tweets
Boshko Koloski
|
Senja Pollak
|
Blaz Skrlj
Fusing Stylistic Features with Deep-learning Methods for Profiling Fake News Spreader
Roberto Labadie
|
Daniel Castro-Castro
|
Reynier Ortega Bueno
Profiling Fake News Spreaders on Twitter based on TFIDF Features and Morphological Process. Notebook for PAN at CLEF 2020
Mohamed Lichouri
|
Mourad Abbas
|
Besma Benaziz
Profiling Fake News Spreaders on Twitter
Álvaro López
|
Pasqual Martí
Approaches to the Profiling Fake News Spreaders on Twitter Task in English and Spanish
Jacobo López Fernández
|
Juan Antonio López Ramírez
Detecting Fake News Spreaders on Twitter Using Universal Sentence Encoder
Soumayan Bandhu Majumder
|
Dipankar Das
Profiling Fake News spreaders through Stylometry and Lexical Features. UniOR NLP @PAN2020
Raffaele Manna
|
Antonio Pascucci
|
Johanna Monti
Assembly of Polarity, Emotion and User Statistics for Detection of Fake Profiles
Luis Gabriel Moreno-Sandoval
|
Edwin A. Puertas Del Castillo
|
Alexandra Pomares Quimbaya
|
Jorge Andrés Alvarado-Valencia
Detecting Fake News Spreaders with Behavioural, Lexical and Psycholinguistic Features
Héctor Ricardo Murrieta Bello
|
Lukas Heilmann
|
Esben Ronan
Profiling Spreaders of Disinformation on Twitter: IKMLab and Softbank Submission
Timothy Niven
|
Hung-Yu Kao
|
Hsin-Yang Wang
Will Longformers PAN Out for Authorship Verification? Notebook for PAN at CLEF 2020
Juanita Ordoñez
|
Rafael A. Rivera Soto
|
Barry Y. Chen
Identifying Fake News Spreaders in Social Media
Nikhil Pinnaparaju
|
Vijayasaradhi Indurthi
|
Vasudeva Varma
Using N-grams to detect Fake News Spreaders on Twitter
Juan Pizarro
Celebrity Profiling using Twitter Follower Feeds: Notebook for PAN at CLEF 2020
Samantha Price
|
Abigail Hodge
Sadness and Fear: Classification of Fake NewsSpreaders Content on Twitter
Irene Russo
Profiling Fake News Spreaders on Twitter
Álvaro López
|
Pasqual Martí
ULMFiT for Twitter Fake News Spreader Profiling
H. L. Shashirekha
|
Fazlourrahman Balouchzahi
Ensemble Model for Profiling Fake News Spreaders on Twitter
H. L. Shashirekha
|
M. D. Anusha
|
Nitin S. Prakash
Detecting Fake News Spreaders in Social Networks via Linguistic and Personality Features
Anu Shrestha
|
Francesca Spezzano
|
Abishai Joy
Fake News Spreader Detection on Twitter using Character N-Grams
Inna Vogel
|
Meghana Meghana
Feature Vector Difference based Neural Network and Logistic Regression Models for Authorship Verification
Janith Weerasinghe
|
Rachel Greenstadt
A BERT based Two-stage Fake News Spreader Profiling System
Shih-Hung Wu
|
Sheng-Lun Chien
CLEF: Touché
Overview papers:
Overview of Touché 2020: Argument Retrieval - Extended Abstract
Alexander Bondarenko
|
Maik Fröbe
|
Meriem Beloucif
|
Lukas Gienapp
|
Yamen Ajjour
|
Alexander Panchenko
|
Chris Biemann
|
Benno Stein
|
Henning Wachsmuth
|
Martin Potthast
|
Matthias Hagen
Participant papers:
An Open-Domain Web Search Engine for Answering Comparative Questions
Tinsaye Abye
|
Tilmann Sager
|
Anna Juliane Triebel
Exploring Argument Retrieval with Transformers
Christopher Akiki
|
Martin Potthast
Creating an Argument Search Engine for Online Debates
Maximilian Bundesmann
|
Lukas Christ
|
Matthias Richter
Retrieving Comparative Arguments using Deep Pre-trained Language Models and NLU
Viktoria Chekalina
|
Alexander Panchenko
Ranking Arguments by Combining Claim Similarity and Argument Quality Dimensions
Lorik Dumani
|
Ralf Schenkel
Argument Retrieval Using Deep Neural Ranking Models
Saeed Entezari
|
Michael Völske
Development of a Search Engine to Answer Comparative Queries
Johannes Huck
University of Amsterdam at CLEF 2020
Mahsa S. Shahshahani
|
Jaap Kamps
Question Answering for Comparative Questions with GPT-2
Bjarne Sievers
SentArg: A Hybrid Doc2Vec/DPH Model with Sentiment Analysis Refinement
Christian Staudte
|
Lucas Lange
CLEF: eHealth
Overview papers:
Overview of the CLEF eHealth Evaluation Lab 2020
Lorraine Goeuriot
|
Hanna Suominen
|
Liadh Kelly
|
Antonio Miranda-Escalada
|
Martin Krallinger
|
Zhengyang Liu
|
Gabriella Pasi
|
Gabriela González Sáez
|
Marco Viviani
|
Chenchen Xu
CLEF: eRisk
Overview papers:
Overview of eRisk 2020: Early Risk Prediction on the Internet
David E. Losada
|
Fabio Crestani
|
Javier Parapar
Participant papers:
Using Surface and Semantic Features for Detecting Early Signs of Self-Harm in Social Media Postings
Linda Achilles
|
Max Kisselew
|
Johannes Schäfer
|
Ralph Kölle
INAOE-CIMAT at eRisk 2020: Detecting Signs of Self-Harm using Sub-Emotions and Words
Mario Ezra Aragón
|
Adrián Pastor López-Monroy
|
Manuel Montes-y-Gómez
Detection of Early Sign of Self-harm on Reddit using Multi-level Machine
Hojjat Bagherzadeh Hosseinabad
|
Ehsan Fazl Ersi
|
Abedin Vahedian
NLP-UNED at eRisk 2020: Self-harm Early Risk Detection with Sentiment Analysis and Linguistic Features
Elena Campillo Ageitos
|
Juan Martínez-Romo
|
Lourdes Araujo
USDB at eRisk 2020: Deep Learning Models to Measure the Severity of the Signs of Depression using Reddit Posts
Amina Madani
|
Fatima Boumahdi
|
Anfel Boukenaoui
|
Mohamed Chaouki Kritli
|
Hamza Hentabli
Early Risk Detection of Self-Harm and Depression Severity using BERT-based Transformers
Rodrigo Martínez-Castaño
|
Amal Htait
|
Leif Azzopardi
|
Yashar Moshfeghi
Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models
Diego Maupomé
|
Maxime D. Armstrong
|
Raouf Moncef Belbahar
|
Josselin Alezot
|
Rhon Balassiano
|
Marc Queudot
|
Sébastien Mosser
|
Marie-Jean Meurs
BioInfo@UAVR at eRisk 2020: on the Use of Psycholinguistics Features and Machine Learning for the Classification and Quantification of Mental Diseases
Alina Trifan
|
Pedro Salgado
|
José Luís Oliveira
Deep Learning Architectures and Strategies for Early Detection of Self-harm and Depression Level Prediction
Ana Sabina Uban
|
Paolo Rosso
FIRE: Anaphora Resolution from Social Media Text in Indian Languages (SocAnaRes-IL)
Overview papers:
Anaphora Resolution from Social Media Text in Indian Languages (SocAnaRes-IL)- Overview
Sobha Lalitha Devi
Participant papers:
Attention based Anaphora Resolution for Code-Mixed Social Media Text for Hindi Language
Sandhya Singh
|
Kevin Patel
|
Pushpak Bhattacharyya
FIRE: Artificial Intelligence for Legal Assistance (AILA)
Overview papers:
Overview of the FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance
Paheli Bhattacharya
|
Parth Mehta
|
Kripabandhu Ghosh
|
Saptarshi Ghosh
|
Arindam Pal
|
Arnab Bhattacharya
|
Prasenjit Majumder
FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance
Paheli Bhattacharya
|
Parth Mehta
|
Kripabandhu Ghosh
|
Saptarshi Ghosh
|
Arindam Pal
|
Arnab Bhattacharya
|
Prasenjit Majumder
Participant papers:
UB at FIRE 2020 Precedent and Statute Retrieval
Tebo Leburu-Dingalo
|
Nkwebi Peace Motlogelwa
|
Edwin Thuma
|
Monkgogi Modongo
Query Revaluation Method For Legal Information Retrieval
Liang Liu
|
Lexiao Liu
|
Zhongyuan Han
Rhetorical Role Labelling for Legal Judgements Using ROBERTA
Soumayan Bandhu Majumder
|
Dipankar Das
Legal Information Retrieval and Rhetorical Role Labelling for Legal Judgements
Nitin Nikamanth Appiah Balaji
|
B. Bharathi
|
J. Bhuvana
Best Matching Algorithm to Identify and Rank the Relevant Statutes
Kayalvizhi S
|
Thenmozhi D
|
Chandrabose Aravindan
Legal text classification model based on text statistical features and deep semantic features
Jiaming Gao
|
Hui Ning
|
Zhongyuan Han
|
Leilei Kong
|
Haoliang Qi
Document Level Embeddings for Identifying Similar Legal Cases and Laws
Intisar Almuslim
|
Diana Inkpen
Language Model-based Approaches for Legal Assistance
Zhiran Li
|
Leilei Kong
Artificial Intelligence as Legal Research Assistant
Jhanvi Arora
|
Tanay Patankar
|
Alay Shah
|
Shubham Joshi
Spectre@AILA-FIRE2020: Supervised Rhetorical Role Labeling for Legal Judgments using Transformers
Racchit Jain
|
Abhishek Agarwal
|
Yashvardhan Sharma
The Language Model for Legal Retrieval and Bert-based Model for Rhetorical Role Labeling for Legal Judgments
Yujie Xu
|
Tang Li
|
Zhongyuan Han
FIRE2020 AILA Track: Legal domain search with minimal domain knowledge
Tobias Fink
|
Gábor Recski
|
Allan Hanbury
Retrieval Model and Classification Model for AILA2020
Menghan Wu
|
Zhengyu Wu
|
Xiangyu Wang
|
Zhongyuan Han
FIRE: Authorship Identification of Source Code (AI-SOCO)
Overview papers:
Overview of the PAN@FIRE 2020 Task on the Authorship Identification of SOurce COde
Ali Fadel
|
Husam Musleh
|
Ibraheem Tuffaha
|
Mahmoud Al-Ayyoub
|
Yaser Jararweh
|
Elhadj Benkhelifa
|
Paolo Rosso
Overview of the PAN@FIRE 2020 Task on the Authorship Identification of SOurce COde
Ali Fadel
|
Husam Musleh
|
Ibraheem Tuffaha
|
Mahmoud Al-Ayyoub
|
Yaser Jararweh
|
Elhadj Benkhelifa
|
Paolo Rosso
Participant papers:
UoB at AI-SOCO 2020: Approaches to Source Code Classification and the Surprising Power of n-grams
Alexander Crosby
|
Harish Tayyar Madabushi
N-gram-based Authorship Identification of Source Code
Yunpeng Yang
|
Leilei Kong
|
Zhongyua Han
|
Yong Han
|
Haoliang Qi
Team Alexa at Authorship Identification of SOurce Code (AI-SOCO)
Mutaz Bni Younes
|
Nour Al-Khdour
Boosting a kNN Classifier by improving Feature Extraction for Authorship Identification of Source Code
Yves Bestgen
Ranking-based and Classification-based Approaches for Code Author Identification
Zhongyuan Han
|
Tang Li
|
Xiangyu Wang
|
Yujie Xu
|
Menghan Wu
|
Zhiran Li
|
Zhengyu Wu
|
Yong Han
UMUTeam at AI-SOCO'2020: Source Code Authorship Identification based on Character N-Grams and Author's Traits
José Antonio García-Díaz
|
Rafael Valencia-García
Embedding-based Authorship Identification of Source Code
Asrita Venkata Mandalam
|
Abhishek
Source Code Authorship Attribution using Stacked classifier
Chanchal Suman
|
Ayush Raj
|
Sriparna Saha
|
Pushpak Bhattacharyya
Kode_Stylers: Author Identification through Naturalness of Code: An Ensemble Approach
Panyawut Sriiesaranusorn
|
Supatsara Wattanakriengkrai
|
Teyon Son
|
Takeru Tanaka
|
Christopher Wiraatmaja
|
Takashi Ishio
|
Raula Gaikovina Kula
FIRE: CEREX (Cause-Effect Relation EXtraction from Text)
Overview papers:
CEREX@FIRE-2020: Overview of the Shared Task on Cause-effect Relation Extraction
Manjira Sinha
|
Tirthankar Dasgupta
|
Lipika Dey
Participant papers:
SSN_NLP@FIRE2020 : Automatic Extraction of Causal Relations Using Deep Learning and Machine Translation Approaches
Thenmozhi Durairaj
|
Arunima S.
|
Amlan Sengupta
|
Avantika Balaji
Feature Fusion with Hand-crafted and Transfer Learning Embeddings for Cause-Effect Relation Extraction
Abdul Aziz
|
Afrin Sultana
|
Md. Akram Hossain
|
Nabila Ayman
|
Abu Nowshed Chy
FIRE: Causality-driven Ad hoc Information Retrieval (CAIR)
Overview papers:
Overview of the Causality-driven Adhoc Information Retrieval (CAIR) task at FIRE-2020
Suchana Datta
|
Debasis Ganguly
|
Dwaipayan Roy
|
Derek Greene
|
Charles Jochim
|
Francesca Bonin
Participant papers:
Causality Detection for Causality-driven Adhoc Information Retrieval Task
Chuan-An Lin
|
Yi Zhang
Preliminary Investigation on Causality Information Retrieval
Pankaj Dadure
|
Partha Pakray
|
Sivaji Bandyopadhyay
FIRE: Dravidian CodeMix Hate Speech and Offensive Content Identification in Indo-European Languages (Dravdian-CodeMix-HASOC)
Overview papers:
Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi
|
Ruba Priyadharshini
|
Vigneshwaran Muralidaran
|
Shardul Suryawanshi
|
Navya Jose
|
Elizabeth Sherly
|
John P. McCrae
Participant papers:
JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags
Sainik Kumar Mahata
|
Dipankar Das
|
Sivaji Bandyopadhyay
MUCS@Dravidian-CodeMix-FIRE2020: SACO-SentimentsAnalysis for CodeMix Text
Fazlourrahman Balouchzahi
|
H. L. Shashirekha
Bits2020@Dravidian-CodeMix-FIRE2020: Sub-Word Level Sentiment Analysis of Dravidian Code Mixed Data
Yashvardhan Sharma
|
Asrita Venkata Mandalam
CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text
Suman Dowlagar
|
Radhika Mamidi
HIT_SUN@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code-Mixing Text Base on BERT
Huilin Sun
|
Jiaming Gao
|
Fang Sun
JudithJeyafreeda@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of YouTube Comments for Dravidian Languages
Judith Jeyafreeda Andrew
SSN_NLP_MLRG@Dravidian-CodeMix-FIRE2020: Sentiment Code-Mixed Text Classification in Tamil and Malayalam using ULMFiT
Adaikkan Kalaivani
|
Durairaj Thenmozhi
IRLab@IITBHU@Dravidian-CodeMix-FIRE2020: Sentiment Analysis for Dravidian Languages in Code-Mixed Text
Supriya Chanda
|
Sukomal Pal
PITS@Dravidian-CodeMix-FIRE2020: Traditional Approach to Noisy Code-Mixed Sentiment Analysis
Nikita Kanwar
|
Megha Agarwal
|
Rajesh Kumar Mundotiya
SRJ @ Dravidian-CodeMix-FIRE2020: Automatic Classification and Identification Sentiment in Code-mixed Text
Ruijie Sun
|
Xiaobing Zhou
SSNCSE_NLP@Authorship Identification of SOurce COde (AI-SOCO) 2020
Nitin Nikamanth Appiah Balaji
|
B. Bharathi
YNU@Dravidian-CodeMix-FIRE2020: XLM-RoBERTa for Multi-language Sentiment Analysis
Xiaozhi Ou
|
Hongling Li
CIA_NITT@Dravidian-CodeMix-FIRE2020: Malayalam-English Code Mixed Sentiment Analysis Using Sentence BERT And Sentiment Features
Yandrapati Prakash Babu
|
Rajagopal Eswari
|
K. Nimmi
LucasHub@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code Mixing Text with M-BERT and XLM-RoBERTa
Bo Huang
|
Yang Bai
SA_SVG@Dravidian-CodeMix-FIRE2020: Deep Learning Based Sentiment Analysis in Code-mixed Tamil-English Text
Anbukkarasi S
|
Varadhaganapathy S
IRLab@IITV@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code Mixing Text Using BERT-BASE
Anita Saroj
|
Sukomal Pal
UMSNH-INFOTEC@Dravidian-CodeMix-FIRE2020: An ensemble approach based on a multiple text representations
José Ortiz-Bejar
|
Jesus Ortiz-Bejar
|
Jaime Cerdá Jacobo
|
Mario Graff
|
Eric Sadit Tellez
TADS@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on CodeMix Dravidian Language
Deepesh Sharma
Parameswari_faith_nagaraju@Dravidian-CodeMix-FIRE: A machine-learning approach using n-grams in sentiment analysis for code-mixed texts: A case study in Tamil and Malayalam
Parameswari Krishnamurthy
|
Faith Varghese
|
Nagaraju Vuppala
YUN111@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Dravidian Code Mixed Text
Yueying Zhu
|
Kunjie Dong
Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: A Sentiment Polarity Classifier for YouTube Comments with Code-switching between Tamil Malayalam and English
BalaSundaraRaman Lakshmanan
|
Sanjeeth Kumar Ravindranath
NUIG-Shubhanker@Dravidian-CodeMix- FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet
Shubhanker Banerjee
|
Arun Jayapal
|
Sajeetha Thavareesan
FIRE: Event Detection from News in Indian Languages (EDNIL)
Overview papers:
Overview of the FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages
Bhargav Dave
|
Surupendu Gangopadhyay
|
Prasenjit Majumder
|
Pushpak Bhattacharya
|
Sudeshna Sarkar
|
Sobha Lalitha Devi
FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages
Bhargav Dave
|
Surupendu Gangopadhyay
|
Prasenjit Majumder
|
Pushpak Bhattacharya
|
Sudeshna Sarkar
|
Sobha Lalitha Devi
Participant papers:
Non-neural Structured Prediction for Event Detection from News in Indian Languages
Shubhanshu Mishra
ComMA@FIRE 2020: Exploring Multilingual Joint Training across different Classification Tasks
Ritesh Kumar
|
Bornini Lahiri
|
Atul Kr. Ojha
|
Akanksha Bansal
An Approach for Event Detection from News in Indian Languages using Linear SVC
Fazlourrahman Balouchzahi
|
H. L. Shashirekha
Event Detection from News in Indian Languages using Similarity Based Pattern Finding Approach
Shubham Basak
FIRE: Fake News Detection in the Urdu Language (UrduFake)
Overview papers:
Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020
Maaz Amjad
|
Grigori Sidorov
|
Alisa Zhila
|
Alexander F. Gelbukh
|
Paolo Rosso
UrduFake@FIRE2020: Shared Track on Fake News Identification in Urdu
Maaz Amjad
|
Grigori Sidorov
|
Alisa Zhila
|
Alexander F. Gelbukh
|
Paolo Rosso
Participant papers:
Fake News Detection in the Urdu Language using CharCNN-RoBERTa
Nankai Lin
|
Sihui Fu
|
Shengyi Jiang
Urdu Fake News Detection using Generalized Autoregressors
Abdullah Faiz Ur Rahman Khilji
|
Sahinur Rahman Laskar
|
Partha Pakray
|
Sivaji Bandyopadhyay
A GRU-based Fake News Prediction System: Working Notes for UrduFake-FIRE 2020
Saichethan Miriyala Reddy
|
Chanchal Suman
|
Sriparna Saha
|
Pushpak Bhattacharyya
Learning Models for Urdu Fake News Detection
Fazlourrahman Balouchzahi
|
H. L. Shashirekha
FIRE: Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC)
Overview papers:
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages
Thomas Mandl
|
Sandip Modha
|
Gautam Kishore Shahi
|
Amit Kumar Jaiswal
|
Durgesh Nandini
|
Daksh Patel
|
Prasenjit Majumder
|
Johannes Schäfer
Overview of the HASOC Track at FIRE 2020: Hate Speech and Offensive Language Identification in Tamil, Malayalam, Hindi, English and German
Thomas Mandl
|
Sandip Modha
|
Anand Kumar M
|
Bharathi Raja Chakravarthi
Participant papers:
YNU_OXZ at HASOC 2020: Multilingual Hate Speech and Offensive Content Identification based on XLM-RoBERTa
Xiaozhi Ou
|
Hongling Li
Leveraging Multilingual Transformers for Hate Speech Detection
Sayar Ghosh Roy
|
Ujwal Narayan
|
Tathagata Raha
|
Zubair Abid
|
Vasudeva Varma
IIIT_DWD@HASOC 2020: Identifying offensive content in Indo-European languages
Ankit Kumar Mishra
|
Sunil Saumya
|
Abhinav Kumar
LAs for HASOC - Learning Approaches for Hate Speech and Offensive Content Identification
Fazlourrahman Balouchzahi
|
H. L. Shashirekha
Astralis @ HASOC 2020: Analysis On Identification Of Hate Speech In Indo-European Languages With Fine-Tuned Transformers
Hiren Madhu
|
Shrey Satapara
|
Harsh Rathod
NSIT & IIITDWD @ HASOC 2020: Deep learning model for hate-speech identification in Indo-European languages
Roushan Raj
|
Shivangi Srivastava
|
Sunil Saumya
JU at HASOC 2020: Deep Learning with RoBERTa and Random Forest for Hate Speech and Offensive Content Identification in Indo-European Languages
Biswarup Ray
|
Avishek Garain
Chrestotes@HASOC 2020: Bert Fine-tuning for the Identification of Hate Speech and Offensive Language in Indo-European Languages
Tochukwu Ezike
|
Manikan Sivanesan
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection
Suman Dowlagar
|
Radhika Mamidi
Zeus at HASOC 2020: Hate speech detection based on ALBERT-DPCNN
Siyao Zhou
|
Rui Fu
|
Jie Li
ZYJ at HASOC 2020: ALBERT-Based Model for Hate Speech and Offensive Content Identification
Yingjia Zhao
|
Xin Tao
Lee@HASOC2020: ALBERT-based Max Ensemble with Self-training for Identifying Hate Speech and Offensive Content in Indo-European Languages
Junyi Li
|
Tianzi Zhao
YUN_DE at HASOC2020 subtask A: Multi-Model Ensemble Learning for Identifying Hate Speech and Offensive Language
Zichen Zhang
|
Yuhang Wu
|
Hao Wu
Huiping Shi@HASOC 2020: Multi-Top k Self-Attention with K-Max pooling for discrimination between Hate profane and offensive posts
Huiping Shi
|
Xiaobing Zhou
Hub@HASOC 2020: Fine-tuning Pre-Trained Transformer Language Models for Hate Speech and Offensive Content Identification in Indo-European Languages
Bo Huang
|
Yang Bai
HRS-TECHIE@Dravidian-CodeMix and HASOC-FIRE2020: Sentiment Analysis and Hate Speech Identification using Machine Learning Deep Learning and Ensemble Models
Sridhar Swaminathan
|
Hari Krishnan Ganesan
|
Radhakrishnan Pandiyarajan
An Ensemble Model for Hate Speech and Offensive Content Identification in Indo-European Languages
M. D. Anusha
|
H. L. Shashirekha
IRIT-PREVISION AT HASOC 2020: Fine-tuning BERT for Hate Speech and Offensive Content Identification
Josiane Mothe
|
Pratik Parikh
|
Faneva Ramiandrisoa
NITP-AI-NLP@Dravidian-CodeMix-FIRE2020: A Hybrid CNN and Bi-LSTM Network for Sentiment Analysis of Dravidian Code-Mixed Social Media Posts
Abhinav Kumar
|
Sunil Saumya
|
Jyoti Prakash Singh
HateDetectors at HASOC 2020: Hate Speech Detection using Classical Machine learning and Transfer learning based approaches
Varsha Reddy
|
Surendra Telidevara
Simon@HASOC 2020: Detecting Hate Speech and Offensive Content in German Language with BERT and Ensembles
Qinyu Que
|
Ruijie Sun
|
Shasha Xie
Hate Speech and Offensive Content Identification: LSTM Based Deep Learning Approach @ HASOC 2020
Baidya Nath Saha
|
Apurbalal Senapati
TUB at HASOC 2020: Character based LSTM for Hate Speech Detection in Indo-European Languages
Salar Mohtaj
|
Vinicius Woloszyn
|
Sebastian Möller
DLRG@HASOC 2020: A Hybrid Approach for Hate and Offensive Content Identification in Multilingual Tweets
Yashwanth Reddy B.
|
Ratnavel Rajalakshmi
yasuo at HASOC2020: Fine-tune XML-RoBERTa for Hate Speech Identification
Li Xu
|
Jun Xeng
|
Shi Chen
AI_ML_NIT_Patna @HASOC 2020: BERT Models for Hate Speech Identification in Indo-European Languages
Kirti Kumari
|
Jyoti Prakash Singh
CFILT IIT Bombay@HASOC-Dravidian-CodeMix FIRE 2020: Assisting ensemble of transformers with random transliteration
Pankaj Singh
|
Pushpak Bhattacharyya
NLP-CIC at HASOC 2020: Multilingual Offensive Language Detection using All-in-one Model
Segun Taofeek Aroyehun
|
Alexander F. Gelbukh
Siva@HASOC-Dravidian-CodeMix-FIRE-2020: Multilingual Offensive Speech Detection in Code-mixed and Romanized Text
Siva Sai
|
Yashvardhan Sharma
CUSAT_NLP@HASOC-Dravidian-CodeMix-FIRE2020: Identifying Offensive Language from Manglish Tweets
Sara Renjit
|
Sumam Mary Idicula
KBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Codemix Social Media text
Varsha M. Pathak
|
Manish R. Joshi
|
Prasad Joshi
|
Monica Mundada
|
Tanmay Joshi
Gauravarora@HASOC-Dravidian-CodeMix- FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detection
Gaurav Arora
CENMates@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification on Code-mixed Social Media Comments
Veena P. V
|
Praveena Ramanan
|
Remmiya Devi G
YUN@HASOC-Dravidian-CodeMix-FIRE2020: A Multi-component Sentiment Analysis Model for Offensive Language Identification
Kunjie Dong
|
Yao Wang
Zyy1510@HASOC-Dravidian-CodeMix-FIRE2020: An Ensemble Model for Offensive Language Identification
Yueying Zhu
|
Xiaobing Zhou
Ajees@HASOC-Dravidian-CodeMix-FIRE2020
Ajees A. P
WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments
Tharindu Ranasinghe
|
Sarthak Gupte
|
Marcos Zampieri
|
Ifeoma Nwogu
IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text
Arup Baruah
|
Kaushik Amar Das
|
Ferdous Ahmed Barbhuiya
|
Kuntal Dey
FIRE: Retrieval from Conversational Dialogues (RCD)
Overview papers:
Overview of RCD-2020, the FIRE-2020 track on Retrieval from Conversational Dialogues
Debasis Ganguly
|
Dipasree Pal
|
Manisha Verma
|
Procheta Sen
Participant papers:
DCU at the FIRE 2020 Retrieval from Conversational Dialogues (RCD) task
Abhishek Kaushik
|
Vishal Bhat Ramachandra
|
Gareth J. F. Jones
TREC: Conversational Assistance (CAsT)
Overview papers:
CAsT 2020: The Conversational Assistance Track Overview
Jeffrey Dalton
|
Chenyan Xiong
|
Jamie Callan
Participant papers:
Query Expansion with Semantic-Based Ellipsis Reduction for Conversational IR
Chia-Yuan Chang
|
Ning Chen
|
Wei-Ting Chiang
|
Chih-Hen Lee
|
Yu-Hsuan Tseng
|
Chuan-Ju Wang
|
Hsien-Hao Chen
|
Ming-Feng Tsai
DUTh at TREC 2020 Conversational Assistance Track
Michalis Fotiadis
|
Georgios Peikos
|
Symeon Symeonidis
|
Avi Arampatzis
Glasgow Representation and Information Learning Lab (GRILL) at the Conversational Assistance Track 2020
Carlos Gemmell
|
Jeffrey Dalton
HBKU at TREC 2020: Conversational Multi-Stage Retrieval with Pseudo-Relevance Feedback
Haya Al-Thani
|
Bernard J. Jansen
|
Tamer Elsayed
Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020
Ida Mele
|
Cristina Ioana Muntean
|
Franco Maria Nardini
|
Raffaele Perego
|
Nicola Tonellotto
IELAB for TREC Conversational Assistance Track (CAsT) 2020
Sebastian Cross
|
Hang Li
|
Arvin Zhuang
|
Ahmed Mourad
|
Guido Zuccon
|
Bevan Koopman
NOVA at TREC 2020 Conversational Assistance Track
Rafael Ferreira
|
David Semedo
|
João Magalhães
POLYU at TREC 2020 Conversational Assistant Track: Query Reformulation with Heuristic Topic Phrases Discovery
Kaishuai Xu
|
Wenjie Li
|
Yongli Li
Extending the Use of Previous Relevant Utterances for Response Ranking in Conversational Search
Ivan Sekulic
|
Fabio Crestani
|
Mohammad Aliannejadi
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval
Svitlana Vakulenko
|
Nikos Voskarides
|
Zhucheng Tu
|
Shayne Longpre
WaterlooClarke at the Trec 2020 Conversational Assistant Track
Negar Arabzadeh
|
Charles L. A. Clarke
Wilfrid Laurier University at the NIST TREC 2020: Conversational Assistance Track
Max Niebergall
|
Jiashu Zhao
TREC: Deep Learning
Overview papers:
Overview of the TREC 2020 Deep Learning Track
Nick Craswell
|
Bhaskar Mitra
|
Emine Yilmaz
|
Daniel Campos
Participant papers:
2020 Deep Learning Track
Tiago Almeida
|
Sérgio Matos
SIB Text Mining at TREC 2020 Deep Learning Track
Julien Knafou
|
Matthew Jeffryes
|
Sohrab Ferdowsi
|
Patrick Ruch
H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine
Ronak Pradeep
|
Xueguang Ma
|
Xinyu Zhang
|
Hang Cui
|
Ruizhou Xu
|
Rodrigo Frassetto Nogueira
|
Jimmy Lin
HSRM-LAVIS at TREC 2020 Deep Learning Track: Neural First-stage Ranking Complementing Term-based Retrieval
Marco Wrzalik
|
Dirk Krechel
ICIP at TREC-2020 Deep Learning Track
Xuanang Chen
|
Ben He
|
Le Sun
|
Yingfei Sun
MPII at the TREC 2020 Deep Learning Track
Canjia Li
|
Andrew Yates
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track
Bhaskar Mitra
|
Sebastian Hofstätter
|
Hamed Zamani
|
Nick Craswell
Naver Labs Europe @ TREC Deep Learning 2020
Thibault Formal
|
Benjamin Piwowarski
|
Stéphane Clinchant
NLM at TREC 2020 Health Misinformation and Deep Learning Tracks
Yassine Mrabet
|
Mourad Sarrouti
|
Asma Ben Abacha
|
Soumya Gayen
|
Travis R. Goodwin
|
Alastair R. Rae
|
Willie Rogers
|
Dina Demner-Fushman
PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking
Yixuan Qiao
|
Hao Chen
|
Liyu Cao
|
Liping Chen
|
Pengyong Li
|
Jun Wang
|
Peng Gao
|
Yuan Ni
|
Guotong Xie
A Multiple Models Ensembling Method in TREC Deep Learning
Liyu Cao
|
Yixuan Qiao
|
Hao Chen
|
Peng Gao
|
Yuan Ni
|
Guo Tong Xie
bigIR at TREC 2020: Simple but Deep Retrieval of Passages and Documents
Fatima Haouari
|
Marwa Essam
|
Tamer Elsayed
RMIT at TREC Deep Learning Track 2020
J. Shane Culpepper
|
Binsheng Liu
Evaluating Transformer-Kernel Models at TREC Deep Learning 2020
Sebastian Hofstätter
|
Allan Hanbury
Impact of Tokenization, Pretraining Task, and Transformer Depth on Text Ranking
Jaap Kamps
|
Nikolaos Kondylidis
|
David Rau
Faster BERT-based Re-ranking through Candidate Passage Extraction
Kyle Reed
|
Harish Tayyar Madabushi
University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track
Xiao Wang
|
Yaxiong Wu
|
Xi Wang
|
Craig Macdonald
|
Iadh Ounis
Longformer for MS MARCO Document Re-ranking Task
Ivan Sekulic
|
Fabio Crestani
|
Amir Soleimani
|
Mohammad Aliannejadi
TREC: Fair Ranking
Participant papers:
University of Washington at TREC 2020 Fairness Ranking Track
Yunhe Feng
|
Daniel Saelid
|
Ke Li
|
Chirag Shah
|
Ruoyuan Gao
MacEwan University at the TREC 2020 Fair Ranking Track
Brian Almquist
Balancing Exposure and Relevance in Academic Search
Andres Ferraro
|
Lorenzo Porcaro
|
Xavier Serra
Naver Labs Europe at TREC 2020 Fair Ranking Track
Till Kletti
The University of Maryland at the TREC 2020 Fair Ranking Track
Mahmoud F. Sayed
|
Douglas W. Oard
University of Glasgow Terrier Team at the TREC 2020 Fair Ranking Track
Graham McDonald
|
Iadh Ounis
TREC: Health Misinformation
Overview papers:
Overview of the TREC 2020 Health Misinformation Track
Charles L. A. Clarke
|
Saira Rizvi
|
Mark D. Smucker
|
Maria Maistro
|
Guido Zuccon
Participant papers:
CiTIUS at the TREC 2020 Health Misinformation Track
Marcos Fernández-Pichel
|
David E. Losada
|
Juan Carlos Pichel
|
David Elsweiler
H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine
Ronak Pradeep
|
Xueguang Ma
|
Xinyu Zhang
|
Hang Cui
|
Ruizhou Xu
|
Rodrigo Frassetto Nogueira
|
Jimmy Lin
University of Copenhagen Participation in TREC Health Misinformation Track 2020
Lucas Chaves Lima
|
Dustin Brandon Wright
|
Isabelle Augenstein
|
Maria Maistro
NLM at TREC 2020 Health Misinformation and Deep Learning Tracks
Yassine Mrabet
|
Mourad Sarrouti
|
Asma Ben Abacha
|
Soumya Gayen
|
Travis R. Goodwin
|
Alastair R. Rae
|
Willie Rogers
|
Dina Demner-Fushman
RealSakaiLab at the TREC 2020 Health Misinformation Track
Sijie Tao
|
Tetsuya Sakai
VOH.CoLAB at TREC 2020 Health Misinformation Track
Simao N. Goncalves
|
Flávio Martins
Webis at TREC 2020: Health Misinformation Track Extended Abstract
Janek Bevendorff
|
Michael Völske
|
Benno Stein
|
Alexander Bondarenko
|
Maik Fröbe
|
Sebastian Günther
|
Matthias Hagen
TREC: Incident Streams
Overview papers:
Incident Streams 2020: TRECIS in the Time of COVID-19
Cody Buntain
|
Richard McCreadie
|
Ian Soboroff
Participant papers:
BJUT at TREC 2020 Incident Streams Track
Hesong Wang
|
Zhen Yang
Improving Classification of Crisis-Related Social Media Content via Text Augmentation and Image Analysis
Shivam Sharma
|
Cody Buntain
Multi-task Transfer Learning for Finding Actionable Information from Crisis-related Messages on Social Media
Congcong Wang
|
David Lillis
University of Glasgow Terrier Team (uogTr) at the TREC 2020 Incident Streams Track
Alexander J. Hepburn
|
Richard McCreadie
TREC: News
Overview papers:
TREC 2020 News Track Overview
Ian Soboroff
|
Shudong Huang
|
Donna Harman
Participant papers:
The CLaC System at the TREC 2020 News Track
Pavel Khloponin
|
Leila Kosseim
TREC 2020 NEWS Track Background Linking Task
Rahul Gautam
|
Mandar Mitra
|
Dwaipayan Roy
OSC at TREC 2020 - News track's Background Linking Task
Nathan Day
|
Dan Worley
|
Tim Allison
Radboud University at TREC 2020
Pepijn Boers
|
Chris Kamphuis
|
Arjen P. de Vries
SU-NLP at TREC NEWS 2020
Ali Eren Ak
|
Çaghan Köksal
|
Kenan Fayoumi
|
Reyyan Yeniterzi
TUW-IFS at TREC NEWS 2020 : Wikification Task
Annisa Maulida Ningtyas
|
Alaa El-Ebshihy
|
Florina Piroi
|
Allan Hanbury
|
Linda Andersson
Aspect Based Background Document Retrieval for News Articles
Kuang Lu
|
Hui Fang
TREC: Podcasts
Overview papers:
TREC 2020 Podcasts Track Overview
Rosie Jones
|
Ben Carterette
|
Ann Clifton
|
Jussi Karlgren
|
Aasish Pappu
|
Sravana Reddy
|
Yongze Yu
|
Maria Eskevich
|
Gareth J. F. Jones
Participant papers:
CUED_SPEECH at TREC 2020 Podcast Summarisation Track
Potsawee Manakul
|
Mark J. F. Gales
DCU-ADAPT at the TREC 2020 Podcasts Track
Yasufumi Moriya
|
Gareth J. F. Jones
Abstract Podcast Summarization using BART with Longformer Attention
Hannes Karlbom
|
Ann Clifton
LRG at TREC 2020: Document Ranking with XLNet-Based Models
Abheesht Sharma
|
Harshit Pandey
Spotify at the TREC 2020 Podcasts Track: Segment Retrieval
Yongze Yu
|
Jussi Karlgren
|
Ann Clifton
|
Md. Iftekhar Tanveer
|
Rosie Jones
|
Hamed R. Bonab
Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization
Rezvaneh Rezapour
|
Sravana Reddy
|
Ann Clifton
|
Rosie Jones
TREMA-UNH at TREC 2020
Sumanta Kashyapi
|
Laura Dietz
Automatic Summarization of Open-Domain Podcast Episodes
Kaiqiang Song
|
Fei Liu
|
Chen Li
|
Xiaoyang Wang
|
Dong Yu
A Two-Phase Approach for Abstractive Podcast Summarization
Chujie Zheng
|
Harry Jiannan Wang
|
Kunpeng Zhang
|
Ling Fan
Combine and Re-Rank: The University of Maryland at the TREC 2020 Podcasts Track
Petra Galuscáková
|
Suraj Nair
|
Douglas W. Oard
Glasgow Representation and Information Learning Lab (GRILL) at TREC 2020 Podcasts Track
Paul Owoicho
|
Jeff Dalton
TREC: Precision Medicine
Overview papers:
Overview of the TREC 2020 Precision Medicine Track
Kirk Roberts
|
Dina Demner-Fushman
|
Ellen M. Voorhees
|
Steven Bedrick
|
William R. Hersh
Participant papers:
Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning
Qiao Jin
|
Chuanqi Tan
|
Mosha Chen
|
Ming Yan
|
Songfang Huang
|
Ningyu Zhang
|
Xiaozhong Liu
BIT.UA@TREC 2020 Precision Medicine Track
Tiago Almeida
|
Sérgio Matos
SIB Text Mining at TREC 2020 Deep Learning Track
Julien Knafou
|
Matthew Jeffryes
|
Sohrab Ferdowsi
|
Patrick Ruch
Retrieving Scientific Abstracts using Medical Concepts and Learning to Rank: CincyMedIR at TREC 2020 Precision Medicine Track
Piyush Sahu
|
Hoang Vu
|
Danny T. Y. Wu
CSIROmed at TREC Precision Medicine 2020
Maciej Rybinski
|
Sarvnaz Karimi
H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine
Ronak Pradeep
|
Xueguang Ma
|
Xinyu Zhang
|
Hang Cui
|
Ruizhou Xu
|
Rodrigo Frassetto Nogueira
|
Jimmy Lin
A Study on Lemma vs Stem for Legal Information Retrieval Using R Tidyverse
Giorgio Maria Di Nunzio
MRG_UWaterloo Participation in the TREC 2020 Precision Medicine Track
Maura R. Grossman
|
Gordon V. Cormack
|
Ba' Pham
Poznań Contribution to TREC-PM 2020
Jakub Dutkiewicz
|
Czeslaw Jedrzejek
University of Glasgow Terrier Team and UFMG at the TREC 2020 Precision Medicine Track
Alberto Ueda
|
Rodrygo L. T. Santos
|
Craig Macdonald
|
Iadh Ounis
VOH.CoLAB at TREC 2020 Precision Medicine Track
Miguel D. Cardoso
|
Flávio Martins