Text REtrieval Conference (TREC) 2022 Proceedings

Conference Proceedings The Thirty-First Text REtrieval Conference (TREC 2022) Proceedings
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Clinical Trials [Clinical Trials][Conversational Assistance][Deep Learning][Fair Ranking][Health Misinformation][CrisisFACTs][NeuCLIR]
Overview of the TREC 2022 Clinical Trials Track Kirk Roberts, University of Texas Health Science Center Dina Demner-Fushman, National Library of Medicine Ellen M. Voorhees, NIST Steven Bedrick, Oregon Health Science University William Hersh, Oregon Health Science University [CSIROmed] Matching a Patient from An Admission Note to Clinical Trials: Experiments with Query Generation and Neural-Ranking Vincent Nguyen, CSIRO Maciej Rybinski, CSIRO Sarvnaz Karimi, CSIRO [UNIMIB] UNIMIB at TREC 2022 Clinical Trials Track Georgios Peikos, University of Milano-Bicocca, Milan, Italy Gabriella Pasi, University of Milano-Bicocca, Milan, Italy [els_dshs] Elsevier Data Science Health Sciences at TREC 2022 Clinical Trials: Exploring Transformer Embeddings for Clinical Trial Retrieval Drahomira Herrmannova, Elsevier Sharvari Jadhav, Elsevier Harsh Sindhwa, Elsevier Hina Nazir, Elsevier Elia Lima-Walton, Elsevier [iiia-unipd] Summarize and Expand Queries in Clinical Trials Retrieval. The IIIA Unipd at TREC 2022 Clinical Trials Giorgio Maria Di Nunzio, University of Padova Guglielmo Faggioli, University of Padova Stefano Marchesin, University of Padova [jbnu] JBNU at TREC 2022 Clinical Trials Track Dalya Sin, Jeonbuk National University Woo-Kyoung Lee, Jeonbuk National University Seung-Hyeon Jo, Jeonbuk National University Kyung-Soon Lee, Jeonbuk National University [phi_lab] CogStack Cohort at TREC 2022 Clinical Trials Track Jack Wu, KCL Zeljko Kraljevic, KCL Thomas Searle, KCL Daniel Bean, KCL Richard Dobson, KCL
Conversational Assistance [Clinical Trials][Conversational Assistance][Deep Learning][Fair Ranking][Health Misinformation][CrisisFACTs][NeuCLIR]
TREC CAsT 2022: Going Beyond User Ask and System Retrieve with Initiative and Response Generation Paul Owoicho, University of Glasgow Jeff Dalton, University of Glasgow Mohammed Aliannejadi, University of Amsterdam Leif Azzopardi, University of Strathclyde Johanne R. Trippas, RMIT University Svitlana Vakulenko, Amazon [CFDA_CLIP] CFDA & CLIP at TREC 2022 Conversational Assistance Track (CAsT) Jia-Huei Ju, Academia Sinica Sheng-Chieh Lin, University of Waterloo Li-Young Chang, National Chengchi University Ming-Feng Tsai, National Chengchi University Chuan-Ju Wang, Academia Sinica [CNR] Context Propagation in Conversational Search Utterances Participation of the CNR Team in CAsT 2022 Ida Mele, IASI-CNR, Rome, Italy Cristina Ioana Muntean, ISTI-CNR, Pisa, Italy Franco Maria Nardini, ISTI-CNR, Pisa, Italy Raffaele Perego, ISTI-CNR, Pisa, Italy Nicola Tonellotto, University of Pisa, Italy [HEATWAVE] UNIVERSITY OF CAMBRIDGE AT TREC CAST 2022 Adian Liusie, Cambridge University Mengjie Qian, Cambridge University Xiang Li, Cambridge University Mark Gales, Cambridge University [MLIA-DAC] MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding Le Hai Nam, Sorbonne Université CNRS ISIR Thomas Gerald, Université Paris Saclay CNRS SATT LISN Thibault Formal, Sorbonne Université CNRS ISIR and Naver Labs Europe Jian-Yun Nie, University of Montreal Benjamin Piwowarski, Sorbonne Université CNRS ISIR Laure Soulier, Sorbonne Université CNRS ISIR [MLIA-DAC] MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding Le Hai Nam, Sorbonne Universite Thomas Gerald, Universite Paris Saclay Thibault Formal1, Sorbonne Universite, Naver Labs Europe Jian-Yun Nie, University of Montreal Benjamin Piwowarski, Sorbonne Universite Laure Soulier, Sorbonne Universite [UiS] The University of Stavanger (IAI) at the TREC 2022 Conversational Assistance Track Weronika Lajewska, University of Stavanger Nolwenn Bernard, University of Stavanger Ivica Kostric, University of Stavanger Ivan Sekulic, Universita della Svizzera italiana Krisztian Balog, University of Stavanger [UoGTr] University of Glasgow Terrier Team at the TREC 2022 Conversational Assistance Track Sarawoot Kongyoung, University of Glasgow Craig Macdonald, University of Glasgow Iadh Ounis, University of Glasgow [WaterlooClarke] WaterlooClarke at the TREC 2022 Conversational Assistant Track Siqing Huo, University of Waterloo Xinyi Yan, University of Waterloo Charles L. A. Clarke, University of Waterloo [iiia-unipd] Question Answering-Based Query Expansion for Conversational Search: IIIA@UNIPD at TREC CAsT 2022 Guglielmo Faggioli, University of Padova Nicola Ferro, University of Padova Mattia Romanello, University of Padova [udel_fang] An Exploration Study of Mixed-initiative Query Reformulation in Conversational Passage Retrieval Dayu Yang, University of Delaware Yue Zhang, University of Delaware Hui Fang, University of Delaware
Deep Learning [Clinical Trials][Conversational Assistance][Deep Learning][Fair Ranking][Health Misinformation][CrisisFACTs][NeuCLIR]
Overview of the TREC 2022 Deep Learning Track Nick Craswell, Microsoft Bhaskar Mitra, Microsoft Research Emine Yilmaz, University College London and Amazon Daniel Campos, University of Illinois Urbana-Champaign and Neural Magic Inc Jimmy Lin, University of Waterloo Ellen M. Voorhees, NIST Ian Soboroff, NIST [Ali] Hybrid Retrieval and Multi-stage Ranking at TREC 2022 Deep Learning Track Guangwei Xu, Alibaba Group Yanzhao Zhang, Alibaba Group Longhui Zhang, Alibaba Group Dingkun Long, Alibaba Group Pengjun Xie, Alibaba Group Ruijie Guo, Alibaba Group [CERTH_ITI_M4D] M4D-MKLab/ITI-CERTH Participation in TREC Deep Learning Track 2022 Alexandros-Michail Koufakis, CERTH Theodora Tsikrika, CERTH Stefanos Vrochidis, CERTH Ioannis Kompatsiaris, CERTH [CIP] CIP at TREC 2022 Deep Learning Track Jian Luo, University of Chinese Academy of Science and Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Science Xinlin Peng, University of Chinese Academy of Science and Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Science Xuanang Chen, University of Chinese Academy of Science and Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Science Ben He, University of Chinese Academy of Science and Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Science Le Sun, Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Science Yingfei Sun, University of Chinese Academy of Science [NLE] Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022 Carlos Lassance, Naver Labs Europe Stéphane Clinchant, Naver Labs Europe [UAmsterdam] Efficient Document Representations for Neural Text Ranking David Rau, University of Amsterdam Jaap Kamps, University of Amsterdam [UGA] Université Grenoble Alpes / LIG at TREC Deep Learning Track 2022 Petra Galučáková, Université Grenoble Alpes Lucas Alberede, Université Grenoble Alpes Gabriela Nicole Gonzalez Saez, Université Grenoble Alpes Aidan Mannion, Université Grenoble Alpes Philippe Mulhem, Université Grenoble Alpes Georges Quénot, Université Grenoble Alpes [UoGTr] Experiments with Adaptive ReRanking and ColBERT-PRF: University of Glasgow Terrier Team at TREC DL 2022 Xiao Wang, University of Glasgow Sean MacAvaney, University of Glasgow Craig Macdonald, University of Glasgow Iadh Ounis, University of Glasgow [Webis] Webis at TREC 2022: Deep Learning and Health Misinformation Alexander Bondarenko, Friedrich-Schiller-Universität Jena Maik Fröbe, Friedrich-Schiller-Universität Jena Lukas Gienapp, Leipzig University Alexander Pugachev, HSE University Jan Heinrich Reimer, Martin-Luther-Universität Halle-Wittenberg Ferdinand Schlatt, Martin-Luther-Universität Halle-Wittenberg Ekaterina Artemova, Ludwig-Maximilians-Universität München Martin Potthast, Leipzig University and ScaDS.AI Benno Stein, Bauhaus-Universität Weimar Pavel Braslavski, HSE University and Ural Federal University Matthias Hagen, Friedrich-Schiller-Universität Jena [yorku22] York University at TREC 2022: Deep Learning Track Yizheng Huang, York University Jimmy Huang, York University
Fair Ranking [Clinical Trials][Conversational Assistance][Deep Learning][Fair Ranking][Health Misinformation][CrisisFACTs][NeuCLIR]
Overview of the TREC 2022 Fair Ranking Track Michael D. Ekstrand, Boise State University Graham McDonald, University of Glasgow Amifa Raj, Boise State University Isaac Johnson, Wikimedia Foundation [UoGTr] University of Glasgow Terrier Team at the TREC 2022 Fair Ranking Track Thomas Jaenich, University of Glasgow Graham McDonald, University of Glasgow Iadh Ounis, University of Glasgow [rmit_cidda_ir] RMIT CIDDA IR at the TREC 2022 Fair Ranking Track Sachin Pathiyan Cherumanal, RMIT University Marwah Alaofi, RMIT University Reham Abdullah Altalhi, RMIT University Elham Naghizade, RMIT University Falk Scholer, RMIT University Damiano Spina, RMIT University [udel_fang] An Exploration of Learning-to-re-rank Using a Two-step Framework for Fair Ranking Fumian Chen, University of Delaware Hui Fang, University of Delaware
Health Misinformation [Clinical Trials][Conversational Assistance][Deep Learning][Fair Ranking][Health Misinformation][CrisisFACTs][NeuCLIR]
[CiTIUS] CiTIUS at the TREC 2022 Health Misinformation Track Marcos Fernández-Pichel, CiTIUS, Universidade de Santiago de Compostela Manuel Prada-Corral, CiTIUS, Universidade de Santiago de Compostela David E. Losada, CiTIUS, Universidade de Santiago de Compostela Juan C. Pichel, CiTIUS, Universidade de Santiago de Compostela [UWaterlooMDS] UWaterlooMDS at the TREC 2022 Health Misinformation Track Amir Vakili Tahami, University of Waterloo Dake Zhang, University of Waterloo Mark D. Smucker, University of Waterloo [Webis] Webis at TREC 2022: Deep Learning and Health Misinformation Alexander Bondarenko, Friedrich-Schiller-Universität Jena Maik Fröbe, Friedrich-Schiller-Universität Jena Lukas Gienapp, Leipzig University Alexander Pugachev, HSE University Jan Heinrich Reimer, Martin-Luther-Universität Halle-Wittenberg Ferdinand Schlatt, Martin-Luther-Universität Halle-Wittenberg Ekaterina Artemova, Ludwig-Maximilians-Universität München Martin Potthast, Leipzig University and ScaDS.AI Benno Stein, Bauhaus-Universität Weimar Pavel Braslavski, HSE University and Ural Federal University Matthias Hagen, Friedrich-Schiller-Universität Jena
CrisisFACTs [Clinical Trials][Conversational Assistance][Deep Learning][Fair Ranking][Health Misinformation][CrisisFACTs][NeuCLIR]
[IRIT_IRIS] IRIT-IRIS at TREC 2022: CrisisFACTS Track Alexis Dusart, IRIT, Université Toulouse 3, France Gilles Hubert, IRIT, Université Toulouse 3, France Karen Pinel-Sauvagnat, IRIT, Université Toulouse 3, France [NM.unicamp] Using Neural Reranking and GPT-3 for Social Media Disaster Content Summarization Jayr Pereira, NeuralMind, Universidade Federal de Pernambuco Robson Fidalgo, Universidade Federal de Pernambuco Roberto Lotufo, NeuralMind Rodrigo Nogueira, NeuralMind [eXSum22] L3S at the TREC 2022 CrisisFACTS Track Thi Huyen Nguyen, L3S Research Center Koustav Rudra, Indian Institute of Technology (Indian School of Mines) Dhanbad [ohm_kiz] Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization Philipp Seeberger, Technische Hochschule Nürnberg Georg Simon Ohm Korbinian Riedhammer, Technische Hochschule Nürnberg Georg Simon Ohm [umcp] Multi-Faceted Question Fusion in the TREC 2022 CrisisFACTS Track Nathaniel W. Rollings, UMD Peter A. Rankel, UMD Douglas W. Oard, UMD
NeuCLIR [Clinical Trials][Conversational Assistance][Deep Learning][Fair Ranking][Health Misinformation][CrisisFACTs][NeuCLIR]
Overview of the TREC 2022 NeuCLIR Track Dawn Lawrie, Johns Hopkins University Human Language Technology Center of Excellence Sean MacAvaney, University of Glasgow James Mayfield, Johns Hopkins University Human Language Technology Center of Excellence Paul McNamee, Johns Hopkins University Human Language Technology Center of Excellence Douglas W. Oard, University of Maryland Luca Soldani, Allen Institute for AI Eugene Yang, Johns Hopkins University Human Language Technology Center of Excellence [CFDA_CLIP] CFDA & CLIP at TREC 2022 NeuCLIR Track Jia-Huei Ju, Academia Sinica Wei-Chih Chen, Academia Sinica Heng-Ta Chang, Academia Sinica Cheng-Wei Lin, Academia Sinica Ming-Feng Tsai, National Chengchi University Chuan-Ju Wang, Academia Sinica [F4] HNUST @ TREC 2022 NeuCLIR Track Ge Zhang, Hunan University of Science and Technology Qiwen Ye, Hunan University of Science and Technology Mengmeng Wang, Hunan University of Science and Technology Dong Zhou, Hunan University of Science and Technology [IDACCS] Extremely Fast Fine-Tuning for Cross Language Information Retrieval via Generalized Canonical Correlation John M. Conroy, IDA Center for Computing Sciences Neil P. Molino, IDA Center for Computing Sciences Julia S. Yang, Department of Defense [KASYS] KASYS at the TREC 2022 NeuCLIR Track Kenya Abe, Kohei Shinden and Makoto P. Kato - University of Tsukuba, Ibaraki, Japan [NLE] Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022 Carlos Lassance, Naver Labs Europe Stéphane Clinchant, Naver Labs Europe [NM.unicamp] NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval Vitor Jeronymo, UNICAMP/NeuralMind Roberto Lotufo, UNICAMP/NeuralMind Rodrigo Nogueira, UNICAMP/NeuralMind [h2oloo] Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval Jimmy Lin, University of Waterloo David Alfonso-Hermelo, Huawei Noah's Ark Lab Vitor jeronymo, UNICAMP Ehsan Kamalloo, University of Waterloo Carlos Lassance, Naver Labs Europe Rodrigo Nogueira, UNICAMP Odunayo Ogundepo, University of Waterloo Mehdi Rezagholizadeh, Huawei Noah's Ark Lab Nandan Thakur, University of Waterloo Jheng-Hong Yang, University of Waterloo Xinyu Zhang, University of Waterloo [hltcoe-jhu] HLTCOE at TREC 2022 NeuCLIR Track Eugene Yang, Human Language Technology Center of Excellence, Johns Hopkins University Dawn Lawrie, Human Language Technology Center of Excellence, Johns Hopkins University James Mayfield, Human Language Technology Center of Excellence, Johns Hopkins University [huaweimtl] Huawei Noah's Ark Lab at TREC NeuCLIR 2022 Ehsan Kamalloo, University of Alberta David Alfonso-Hermelo, Huawei Noah's Ark Lab Mehdi Rezagholizadeh, Huawei Noah's Ark Lab [jhu.mcnamee] Non-Neural Baselines Experiments for CLIR at TREC 2022 Paul McNamee, JHU Human Language Technology Center of Excellence [umcp] Probabilistic Structured Queries: The University of Maryland at the TREC 2022 NeuCLIR Track Suraj Nair, University of Maryland Douglas W. Oard, University of Maryland