The Twenty-Ninth Text REtrieval Conference
(TREC 2020) Proceedings



Index of TREC 2020 Papers by Track


Conversational Assistance
[
Deep Learning] [Fair Ranking] [Health Misinformation] [Incident Streams] [News] [Podcast] [Precision Medicine]
  • PDF file CAsT 2020: The Conversational Assistance Track Overview
    Jeffrey Dalton - University of Glasgow
    Chenyan Xiong - Microsoft Research
    Jamie Callan - Carnegie Mellon University

  • PDF file [ASCFDA] Query Expansion with Semantic-Based Ellipsis Reduction for Conversational IR
    Chia-Yuan Chang, Ning Chen, Wei-Ting Chiang, Chih-Hen Lee, Yu-Hsuan Tseng and Chuan-Ju Wang - Academia Sinica
    Hsien-Hao Chen and Ming-Feng Tsai - National Chengchi University

  • PDF file [DUTH] DUTh at TREC 2020 Conversational Assistance Track
    Michalis Fotiadis, Georgios Peikos, Symeon Symeonidis, and Avi Arampatzis - Democritus University of Thrace

  • PDF file [grill] Glasgow Representation and Information Learning Lab (GRILL) at the Conversational Assistance Track 2020
    Carlos Gemmell and Jeffrey Dalton - University of Glasgow

  • PDF file [HBKU] HBKU at TREC 2020: Conversational Multi-Stage Retrieval with Pseudo-Relevance Feedback
    Haya Al-Thani and Bernard J. Jansen - Hamad Bin Khalifa University
    Tamer Elsayed - Qatar University

  • PDF file [HPCLab-CNR] Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020
    Ida Mele - IASI-CNR
    Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego - ISTI-CNR
    Nicola Tonellotto - University of Pisa

  • PDF file [ielab] IELAB for TREC Conversational Assistance Track (CAsT) 2020
    Sebastian Cross, Hang Li, Arvin Zhuang, Mourad Ahmed and Guido Zuccon - The University of Queensland
    Koopman Bevan - CSIRO

  • PDF file [nova-search] NOVA at TREC 2020 Conversational Assistance Track
    Rafael Ferreira, David Semedo and Joao Magalhaes - NOVA University of Lisbon

  • PDF file [POLYU_SOME] POLYU at TREC 2020 Conversational Assistant Track: Query Reformulation with Heuristic Topic Phrases Discovery
    Kaishuai Xu, Wenjie Li and Yongli Li - The Hong Kong Polytechnic University

  • PDF file [USI] Extending the Use of Previous Relevant Utterances for Response Ranking in Conversational Search
    Ivan Sekulić and Fabio Crestani - Università della Svizzera italiana
    Mohammad Aliannejadi - University of Amsterdam

  • PDF file [UvA.ILPS] Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval
    Svitlana Vakulenko and Nikos Voskarides - University of Amsterdam
    Zhucheng Tu and Shayne Longpre - Apple Inc.

  • PDF file [WaterlooClarke] WaterlooClarke at the Trec 2020 Conversational Assistant Track
    Negar Arabzadeh and Charles L. A. Clarke - University of Waterloo

  • PDF file [WLU] Wilfrid Laurier University at the NIST TREC 2020: Conversational Assistance Track
    Max Niebergall and Jiashu Zhao - Wilfrid Laurier University


  • Deep Learning
    [
    Conversational Assistance] [Fair Ranking] [Health Misinformation] [Incident Streams] [News] [Podcast] [Precision Medicine]
  • PDF file Overview of the TREC 2020 Deep Learning Track
    Nick Craswell and Bhaskar Mitra - Microsoft AI & Research
    Bhaskar Mitra and Emine Yilmaz - University College London
    Daniel Campos - University of Illinois Urbana-Champaign

  • PDF file [BIT.UA] 2020 Deep Learning Track
    Tiago Almeida and Sérgio Matos - University of Aveiro

  • PDF file [BITEM] SIB Text Mining at TREC 2020 Deep Learning Track
    Julien Knafou, Matthew Jeffryes, Sohrab Ferdowsi and Patrick Ruch - University of Applied Sciences and Arts of Western Switzerland
    Julien Knafou, Matthew Jeffryes and Patrick Ruch - Swiss Institute of Bioinformatics
    Julien Knafou - University of Geneva

  • PDF file [h2oloo] 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 Nogueira, and Jimmy Lin - University of Waterloo

  • PDF file [HSRM-LAVIS] HSRM-LAVIS at TREC 2020 Deep Learning Track: Neural First-stage Ranking Complementing Term-based Retrieval
    Marco Wrzalik and Dirk Krechel - Rhein Main University of Applied Sciences

  • PDF file [ICIP] ICIP at TREC-2020 Deep Learning Track
    Xuanang Chen, Ben He and Yingfei Sun - University of Chinese Academy of Sciences
    Xuanang Chen, Ben He and Le Sun - Chinese Academy of Sciences

  • PDF file [mpii] MPII at the TREC 2020 Deep Learning Track
    Canjia Li - University of Chinese Academy of Sciences
    Andrew Yates - Max Planck Institute for Informatics

  • PDF file [MSAI] Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track
    Bhaskar Mitra - Microsoft, University College London
    Sebastian Hofstatter - TU Wien
    Hamed Zamani - University of Massachusetts Amherst
    Nick Craswell - Microsoft

  • PDF file [NLE] Naver Labs Europe @ TREC Deep Learning 2020
    Thibault Formal and Benjamin Piwowarski - Sorbonne Université
    Thibault Formal and Stéphane Clinchant - Naver Labs Europe

  • PDF file [NLM] NLM at TREC 2020 Health Misinformation and Deep Learning Tracks
    Yassine Mrabet, Mourad Sarrouti, Asma Ben Abacha, Soumya Gayen, Travis Goodwin, Alastair Rae, Will Rogers, and Dina Demner-Fushman - National Library of Medicine

  • PDF file [PASH] 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 and Guotong Xie - Ping An Health Technology
    Liping Chen - Northeastern University
    Pengyong Li - Tsinghua University
    Guotong Xie - Ping An Health Cloud Company Limited and Ping An International Smart City Technology Co., Ltd.

  • PDF file [pinganNLP] A Multiple Models Ensembling Method in TREC Deep Learning
    Liyu Cao, Yixuan Qiao, Hao Chen, Peng Gao, Yuan Ni, and GuoTong Xie - Ping An Technology (Shenzhen) Co., Ltd.

  • PDF file [QU] bigIR at TREC 2020: Simple but Deep Retrieval of Passages and Documents
    Fatima Haouari, Marwa Essam and Tamer Elsayed - Qatar University

  • PDF file [RMIT] RMIT at TREC Deep Learning Track 2020
    J. Shane Culpepper and Binsheng Liu - RMIT University

  • PDF file [TU_Vienna] Evaluating Transformer-Kernel Models at TREC Deep Learning 2020
    Sebastian Hofstatter and Allan Hanbury - TU Wien

  • PDF file [UAmsterdam] Impact of Tokenization, Pretraining Task, and Transformer Depth on Text Ranking
    Jaap Kamps, Nikolaos Kondylidis and David Rau - University of Amsterdam

  • PDF file [UoB] Faster BERT-based Re-ranking through Candidate Passage Extraction
    Kyle Reed - University of Sheffield
    Harish Tayyar Madabushi - University of Birmingham

  • PDF file [uogTr] University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track
    Xiao Wang, Yashon Wu, Xi Wang, Craig Macdonald and Iadh Ounis - University of Glasgow

  • PDF file [USI] Longformer for MS MARCO Document Re-ranking Task
    Ivan Sekulic and Fabio Crestani - Università della Svizzera italiana
    Amir Soleimani and Mohammad Aliannejadi - University of Amsterdam


  • Fair Ranking
    [
    Conversational Assistance] [Deep Learning] [Health Misinformation] [Incident Streams] [News] [Podcast] [Precision Medicine]
  • PDF file Overview of the TREC 2020 Fair Ranking Track
    Asia J. Biega - Microsoft Research Montreal
    Fernando Diaz - Montreal Institute for Learning Algorithms
    Michael D. Ekstrand - Boise State University
    Sergey Feldman and Sebastian Kohlmeier - Allen Institute for Artificial Intelligence

  • PDF file [InfoSeeking] University of Washington at TREC 2020 Fairness Ranking Track
    Yunhe Feng, Daniel Saelid, Ke Li, and Chirag Shah - University of Washington
    Ruoyuan Gao - Rutgers University

  • PDF file [MacEwan_Biz] MacEwan University at the TREC 2020 Fair Ranking Track
    Brian Almquist - MacEwan University

  • PDF file [MTG] Balancing Exposure and Relevance in Academic Search
    Andres Ferraro, Lorenzo Porcaro and Xavier Serra - Universitat Pompeu Fabra

  • PDF file [NLE] Naver Labs Europe at TREC 2020 Fair Ranking Track
    Till Kletti - NAVER LABS Europe

  • PDF file [UMD_IR] The University of Maryland at the TREC 2020 Fair Ranking Track
    Mahmoud F. Sayed and Douglas W. Oard - University of Maryland, College Park

  • PDF file [uogTr] University of Glasgow Terrier Team at the TREC 2020 Fair Ranking Track
    Graham McDonald and Iadh Ounis - University of Glasgow


  • Health Misinformation
    [
    Conversational Assistance] [Deep Learning] [Fair Ranking] [Incident Streams] [News] [Podcast] [Precision Medicine]
  • PDF file Overview of the TREC 2020 Health Misinformation Track
    Charles L. A. Clarke, Saira Rizvi, and Mark D. Smucker - University of Waterloo
    Maria Maistro - University of Copenhagen
    Guido Zuccon - University of Queensland

  • PDF file [CiTIUS ] CiTIUS at the TREC 2020 Health Misinformation Track
    Marcos Fernandez-Pichel, David E. Losada and Juan C. Pichel - Universidade de Santiago de Compostela
    David Elsweiler - University of Regensburg

  • PDF file [h2oloo] 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 Nogueira, and Jimmy Lin - University of Waterloo

  • PDF file [KU] University of Copenhagen Participation in TREC Health Misinformation Track 2020
    Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein and Maria Maistro - University of Copenhagen

  • PDF file [NLM] NLM at TREC 2020 Health Misinformation and Deep Learning Tracks
    Yassine Mrabet, Mourad Sarrouti, Asma Ben Abacha, Soumya Gayen, Travis Goodwin, Alastair Rae, Will Rogers, and Dina Demner-Fushman - National Library of Medicine

  • PDF file [RealSakaiLab] RealSakaiLab at the TREC 2020 Health Misinformation Track
    Sijie Tao and Tetsuya Sakai - Waseda University

  • PDF file [vohcolab] VOH.CoLAB at TREC 2020 Health Misinformation Track
    Simao N. Goncalves and Flavio Martins - Universidade NOVA de Lisboa
    Flavio Martins - Comprehensive Health Research Centre

  • PDF file [webis] Webis at TREC 2020: Health Misinformation Track Extended Abstract
    Janek Bevendorff, Michael Volske and Benno Stein - Bauhaus-Universit$aumlat;t Weimar
    Alexander Bondarenko, Maik Frobe, Sebastian Gunther and Matthias Hagen - Martin-Luther-Universitäat;t Halle-Wittenberg


  • Incident Streams
    [
    Conversational Assistance] [Deep Learning]
    [Fair Ranking] [Health Misinformation] [News] [Podcast] [Precision Medicine]
  • PDF file Incident Streams 2020: TRECIS in the Time of COVID-19
    Cody Buntain - New Jersey Institute of Technology
    Richard McCreadie - University of Glasgow
    Ian Soboroff - National Institute of Standards and Technology

  • PDF file [BJUT] BJUT at TREC 2020 Incident Streams Track
    Hesong Wang and Zhen Yang - Beijing University of Technology

  • PDF file [NJIT] Improving Classification of Crisis-Related Social Media Content via Text Augmentation and Image Analysis
    Shivam Sharma and Cody Buntain - New Jersey Institute of Technology

  • PDF file [UCD-CS] Multi-task Transfer Learning for Finding Actionable Information from Crisis-related Messages on Social Media
    Congcong Wang and David Lillis - University College Dublin

  • PDF file [uogTr] University of Glasgow Terrier Team (uogTr) at the TREC 2020 Incident Streams Track
    Alexander J. Hepburn and Richard McCreadie - University of Glasgow


  • News
    [
    Conversational Assistance] [Deep Learning]
    [Fair Ranking] [Health Misinformation] [Incident Streams] [Podcast] [Precision Medicine]
  • PDF file TREC 2020 News Track Overview
    Ian Soboroff, Shudong Huang, Donna Harman - National Institute of Standards and Technology

  • PDF file [CLac] The CLaC System at the TREC 2020 News Track
    Pavel Khloponin and Leila Kosseim - Concordia University

  • PDF file [IRLABISI] TREC 2020 NEWS Track Background Linking Task
    Rahul Gautam, Mandar Mitra and Dwaipayan Roy - Indian Statistical Institute

  • PDF file [OSC] OSC at TREC 2020 - News track‚Äôs Background Linking Task
    Nathan Day, Dan Worley and Tim Allison - OpenSource Connections

  • PDF file [RUIR] Radboud University at TREC 2020
    Pepijn Boers, Chris Kamphuis and Arjen de Vries - Radboud University

  • PDF file [SUNLP] SU-NLP at TREC NEWS 2020
    Ali Eren Ak, Çağhan Köat;ksal, Kenan Fayoumi and Reyyan Yeniterzi - Sabancı University

  • PDF file [TUW-IFS] TUW-IFS at TREC NEWS 2020 : Wikification Task
    Annisa Maulida Ningtyas, Alaa El-Ebshihy, Florina Piroi and Allan Hanbury - TU Wien
    Linda Andersson - Articial Researcher IT GmbH

  • PDF file [udel_fang] Aspect Based Background Document Retrieval for News Articles
    Kuang Lu and Hui Fang - University of Delaware


  • Podcast
    [
    Conversational Assistance] [Deep Learning]
    [Fair Ranking] [Health Misinformation] [Incident Streams] [News] [Precision Medicine]
  • PDF file TREC 2020 Podcasts Track Overview
    Rosie Jones, Ben Carterette, Ann Clifton, Jussi Karlgren, Aasish Pappu, Sravana Reddy and Yongze Yu - Spotify Research
    Maria Eskevich - CLARIN ERIC
    Gareth J. F. Jones - Dublin City University

  • PDF file [cued_speech] CUED_SPEECH at TREC 2020 Podcast Summarisation Track
    Potsawee Manakul and Mark Gales - University of Cambridge

  • PDF file [DCU-ADAPT] DCU-ADAPT at the TREC 2020 Podcasts Track
    Yasufumi Moriya and Gareth J. F. Jones - Dublin City University

  • PDF file [hk_uu_podcast] Abstract Podcast Summarization using BART with Longformer Attention
    Hannes Karlbom - Uppsala University
    Ann Clifton - Spotify

  • PDF file [LRG_REtrievers] LRG at TREC 2020: Document Ranking with XLNet-Based Models
    Abheesht Sharma - BITS Pilani, KK Birla Goa Campus
    Harshit Pandey - AISSMS IOIT, SPPU

  • PDF file [Spotify] Spotify at the TREC 2020 Podcasts Track: Segment Retrieval
    Yongze Yu, Jussi Karlgren, Ann Clifton, Md Iftekhar Tanveer and Rosie Jones - Spotify Research
    Hamed Bonab - University of Massachusetts Amherst

  • PDF file [Spotify] Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization
    Rezvaneh Rezapour - University of Illinois at Urbana-Champaign
    Sravana Reddy, Ann Clifton, and Rosie Jones - Spotify

  • PDF file [TREMA-UNH] TREMA-UNH at TREC 2020
    Sumanta Kashyapi and Laura Dietz - University of New Hampshire

  • PDF file [UCF_NLP] Automatic Summarization of Open-Domain Podcast Episodes
    Kaiqiang Song and Fei Liu - University of Central Florida
    Chen Li, Xiaoyang Wang and Dong Yu - Tencent AI Lab

  • PDF file [udel_wang_zheng] A Two-Phase Approach for Abstractive Podcast Summarization
    Chujie Zheng and Harry Jiannan Wang - University of Delaware
    Kunpeng Zhang - University of Maryland
    Ling Fan - Tongji University

  • PDF file [UMD_IR] Combine and Re-Rank: The University of Maryland at the TREC 2020 Podcasts Track
    Petra Galuščáková, Suraj Nair, and Douglas W. Oard - UMIACS
    Suraj Nair and Douglas W. Oard - University of Maryland, College Park

  • PDF file [uog_msc] Glasgow Representation and Information Learning Lab (GRILL) at TREC 2020 Podcasts Track
    Paul Owoicho and Jeff Dalton - University of Glasgow


  • Precision Medicine
    [
    Conversational Assistance] [Deep Learning]
    [Fair Ranking] [Health Misinformation] [Incident Streams] [News] [Podcast]
  • PDF file Overview of the TREC 2020 Precision Medicine Track
    Kirk Roberts - The University of Texas Health Science Center
    Dina Demner-Fushman - U.S. National Library of Medicine
    Ellen M. Voorhees - National Institute of Standards and Technology
    Steven Bedrick and William R. Hersh - Oregon Health & Science University

  • PDF file [ALIBABA] 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 - Tsinghua University
    Qiao Jin, Chuanqi Tan, Mosha Chen, Ming Yan and Songfang Huang - Alibaba Group
    Ningyu Zhang - Zhejiang University
    Xiaozhong Liu - Indiana University Bloomington

  • PDF file [BIT.UA] BIT.UA@TREC 2020 Precision Medicine Track
    Tiago Almeida and Sérgio Matos - University of Aveiro

  • PDF file [BITEM] SIB Text Mining at TREC Precision Medicine 2020
    Emilie Pasche, Déborah Caucheteur, Luc Mottin, Anaïat;s Mottaz, Julien Gobeill, and Patrick Ruch - HES-SO / HEG Geneva, Information Sciences
    Emilie Pasche, Déborah Caucheteur, Luc Mottin, Anaïat;s Mottaz, Julien Gobeill, and Patrick Ruch - Swiss Institute of Bioinformatics
    Luc Mottin - University of Geneva

  • PDF file [CincyMedIR] Retrieving Scientific Abstracts using Medical Concepts and Learning to Rank: CincyMedIR at TREC 2020 Precision Medicine Track
    Piyush Sahu, Hoang Vu, and Danny T.Y. Wu - University of Cincinnati

  • PDF file [CSIROmed] CSIROmed at TREC Precision Medicine 2020
    Maciej Rybinski and Sarvnaz Karimi - CSIRO Data61

  • PDF file [h2oloo] 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 Nogueira, and Jimmy Lin - University of Waterloo

  • PDF file [ims_unipd] A Study on Query Expansion and Rank Fusion for Precision Medicine: The IMS Unipd at TREC 2020 Precision Medicine
    Giorgio Maria Di Nunzio and Stefano Marchesin - University of Padua

  • PDF file [MRG_UWaterloo] MRG_UWaterloo Participation in the TREC 2020 Precision Medicine Track
    Maura R. Grossman and Gordon V. Cormack - University of Waterloo
    Ba' Pham - University of Toronto

  • PDF file [Poznan] Poznań Contribution to TREC-PM 2020
    Jakub Dutkiewicz and Czesław Jędrzejek - Poznań University of Technology

  • PDF file [uogTr] University of Glasgow Terrier Team and UFMG at the TREC 2020 Precision Medicine Track
    Alberto Ueda and Rodrygo L. T. Santos - UFMG, Brazil
    Craig Macdonald and Iadh Ounis - University of Glasgow

  • PDF file [vohcolab] VOH.CoLAB at TREC 2020 Precision Medicine Track
    Miguel D. Cardoso and Flavio Martins - Universidade NOVA de Lisboa
    Flavio Martins - Comprehensive Health Research Centre