NIST Special Publication:
NIST SP 1266

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

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Videos for some of the talks presented during TREC 2020 are available.


NOTE: All papers are available in PDF format.

The inclusion or omission of a particular company or product implies neither endorsement nor criticism by NIST. Any opinions, findings, and conclusions or recommendations expressed in the individual papers are the authors' own and do not necessarily reflect those of the sponsors.


Overview Papers

  • 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 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 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 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 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 TREC 2020 News Track Overview
    Ian Soboroff, Shudong Huang, Donna Harman - National Institute of Standards and Technology

  • 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 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

  • Participant Papers

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

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

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

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

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

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

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

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

  • 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 [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 [NLE] Naver Labs Europe at TREC 2020 Fair Ranking Track
    Till Kletti - 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 [nova-search] NOVA at TREC 2020 Conversational Assistance Track
    Rafael Ferreira, David Semedo and Joao Magalhaes - NOVA University of Lisbon

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

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

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

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

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

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

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

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

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

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

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

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

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

  • 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

  • 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 [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 [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

  • 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 [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 [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

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

  • 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

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

  • Appendix


    Last updated: Friday, 24-Sep-2021 14:35:31 MDT
    Date created: February 25, 2021
    trec@nist.gov