CAsT 2020: The Conversational Assistance Track Overview
Jeffrey Dalton - University of Glasgow
Chenyan Xiong - Microsoft Research
Jamie Callan - Carnegie Mellon University

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

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

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

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

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

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

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

[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

[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

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

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

[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

[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

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

[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

[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

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

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

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

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

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

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

[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

[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

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

[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

[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

[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

[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

[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

[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

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

[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

[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

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

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

[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

[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

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

[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

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

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

[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

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

[OSC] OSC at TREC 2020 - News track’s Background Linking Task
Nathan Day, Dan Worley and Tim Allison - OpenSource Connections

[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.

[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.

[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

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

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

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

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

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

[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

[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

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

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

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

[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

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

[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

[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

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

[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

[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

[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

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

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

[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

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

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

[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

[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

[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

[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.

[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

[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

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

[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

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

Appendix

• Conversational Assistance Track Runs
  
• Conversational Assistance Track Results
  
  
• Deep Learning Track Document Ranking Task Runs
  
• Deep Learning Track Passage Ranking Task Runs
  
• Deep Learning Track Document Retrieval Task Results
  
• Deep Learning Track Passage Retrieval Task Results
  
  
• Fair Ranking Track Runs
  
• Fair Ranking Track Results
  
  
• Health Misinformation Track Ad Hoc Retrieval Task Runs
  
• Health Misinformation Track Total Recall Task Runs
  
• Health Misinformation Track Ad Hoc Retrieval Task Results
  
• Health Misinformation Track Total Recall Task Results
  
  
• Incident Streams Runs
• Incident Streams 2020A Task 1 Results
  
• Incident Streams 2020A Task 2 Results
  
• Incident Streams 2020A Task 3 Results
  
  
• News Track Runs
  
• News Track Background Linking Task Results
  
• News Track Wikification Task Results
  
  
• Podcast Track Segment Retrieval Task Runs
  
• Podcast Track Summarization Task Runs
  
• Podcast Track Segment Retrieval Task Results
  
• Podcast Track Summarization Task Results
  
  
• Precision Medicine Track Runs
  
• Precision Medicine Track Results
  
  
  

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