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ORCID31st TREC 2022
- Ian Soboroff, Angela Ellis:
Proceedings of the Thirty-First Text REtrieval Conference, TREC 2022, online, November 15-19, 2022. NIST Special Publication 500-338, National Institute of Standards and Technology (NIST) 2022
Track Overviews
- Paul Owoicho, Jeff Dalton, Mohammad Aliannejadi, Leif Azzopardi, Johanne R. Trippas, Svitlana Vakulenko:
TREC CAsT 2022: Going Beyond User Ask and System Retrieve with Initiative and Response Generation. - Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff:
Overview of the TREC 2022 Deep Learning Track. - Michael D. Ekstrand, Graham McDonald, Amifa Raj, Isaac Johnson:
Overview of the TREC 2022 Fair Ranking Track. - Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang:
Overview of the TREC 2022 NeuCLIR Track. - Kirk Roberts, Dina Demner-Fushman, Ellen M. Voorhees, Steven Bedrick, William R. Hersh:
Overview of the TREC 2022 Clinical Trials Track.
Participant Papers
- Guangwei Xu, Yanzhao Zhang, Longhui Zhang, Dingkun Long, Pengjun Xie, Ruijie Guo:
Hybrid Retrieval and Multi-stage Ranking at TREC 2022 Deep Learning Track. - Alexandros-Michail Koufakis, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris:
M4D-MKLab/ITI-CERTH Participation in TREC Deep Learning Track 2022. - Jia-Huei Ju, Sheng-Chieh Lin, Li-Young Chang, Ming-Feng Tsai, Chuan-Ju Wang:
CFDA & CLIP at TREC 2022 Conversational Assistance Track (CAsT). - Jia-Huei Ju, Wei-Chih Chen, Heng-Ta Chang, Cheng-Wei Lin, Ming-Feng Tsai, Chuan-Ju Wang:
CFDA & CLIP at TREC 2022 NeuCLIR Track. - Jian Luo, Xinlin Peng, Xuanang Chen, Ben He, Le Sun, Yingfei Sun:
CIP at TREC 2022 Deep Learning Track. - Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
Context Propagation in Conversational Search Utterances Participation of the CNR Team in CAsT 2022. - Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi:
Matching a Patient from An Admission Note to Clinical Trials: Experiments with Query Generation and Neural-Ranking. - Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel:
CiTIUS at the TREC 2022 Health Misinformation Track. - Ge Zhang, Qiwen Ye, Mengmeng Wang, Dong Zhou:
HNUST @ TREC 2022 NeuCLIR Track. - Adian Liusie, Mengjie Qian, Xiang Li, Mark J. F. Gales:
University of Cambridge at TREC Cast 2022. - John M. Conroy, Neil P. Molino, Julia S. Yang:
Extremely Fast Fine-Tuning for Cross Language Information Retrieval via Generalized Canonical Correlation. - Alexis Dusart, Gilles Hubert, Karen Pinel-Sauvagnat:
IRIT-IRIS at TREC 2022: CrisisFACTS Track. - Kenya Abe:
KASYS at the TREC 2022 NeuCLIR Track. - Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier:
MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding. - Carlos Lassance, Stéphane Clinchant:
Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022. - Jayr Alencar Pereira, Robson do Nascimento Fidalgo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Using Neural Reranking and GPT-3 for Social Media Disaster Content Summarization. - Vitor Jeronymo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval. - David Rau, Jaap Kamps:
Efficient Document Representations for Neural Text Ranking. - Petra Galuscáková, Lucas Alberede, Gabriela Nicole González Sáez, Aidan Mannion, Philippe Mulhem, Georges Quénot:
Université Grenoble Alpes / LIG at TREC Deep Learning Track 2022. - Georgios Peikos, Gabriella Pasi:
UNIMIB at TREC 2022 Clinical Trials Track. - Amir Vakili Tahami, Dake Zhang, Mark D. Smucker:
UWaterlooMDS at the TREC 2022 Health Misinformation Track. - Weronika Lajewska, Nolwenn Bernard, Ivica Kostric, Ivan Sekulic, Krisztian Balog:
The University of Stavanger (IAI) at the TREC 2022 Conversational Assistance Track. - Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Experiments with Adaptive ReRanking and ColBERT-PRF: University of Glasgow Terrier Team at TREC DL 2022. - Thomas Jänich, Graham McDonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2022 Fair Ranking Track. - Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2022 Conversational Assistance Track. - Siqing Huo, Xinyi Yan, Charles L. A. Clarke:
WaterlooClarke at the TREC 2022 Conversational Assistant Track. - Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Alexander Pugachev, Jan Heinrich Reimer, Ferdinand Schlatt, Ekaterina Artemova, Martin Potthast, Benno Stein, Pavel Braslavski, Matthias Hagen:
Webis at TREC 2022: Deep Learning and Health Misinformation. - Thi Huyen Nguyen, Koustav Rudra:
L3S at the TREC 2022 CrisisFACTS Track. - Drahomira Herrmannova, Sharvari Jadhav, Harsh Sindhwa, Hina Nazir, Elia Lima-Walton:
Elsevier Data Science Health Sciences at TREC 2022 Clinical Trials: Exploring Transformer Embeddings for Clinical Trial Retrieval. - Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang:
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. - Eugene Yang, Dawn J. Lawrie, James Mayfield:
HLTCOE at TREC 2022 NeuCLIR Track. - Ehsan Kamalloo, David Alfonso-Hermelo, Mehdi Rezagholizadeh:
Huawei Noah's Ark Lab at TREC NeuCLIR 2022. - Giorgio Maria Di Nunzio, Guglielmo Faggioli, Stefano Marchesin:
Summarize and Expand Queries in Clinical Trials Retrieval. The IIIA Unipd at TREC 2022 Clinical Trials. - Guglielmo Faggioli, Nicola Ferro, Mattia Romanello:
Question Answering-Based Query Expansion for Conversational Search: IIIA@UNIPD at TREC CAsT 2022. - Dalya Sin, Woo-Kyoung Lee, Seung-Hyeon Jo, Kyung-Soon Lee:
JBNU at TREC 2022 Clinical Trials Track. - Paul McNamee:
Non-Neural Baselines Experiments for CLIR at TREC 2022. - Philipp Seeberger, Korbinian Riedhammer:
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization. - Jack Wu, Zeljko Kraljevic, Thomas Searle, Daniel Bean, Richard J. B. Dobson:
CogStack Cohort at TREC 2022 Clinical Trials Track. - Sachin Pathiyan Cherumanal, Marwah Alaofi, Reham Abdullah Altalhi, Elham Naghizade, Falk Scholer, Damiano Spina:
RMIT CIDDA IR at the TREC 2022 Fair Ranking Track. - Fumian Chen, Hui Fang:
An Exploration of Learning-to-re-rank Using a Two-step Framework for Fair Ranking. - Dayu Yang, Yue Zhang, Hui Fang:
An Exploration Study of Mixed-initiative Query Reformulation in Conversational Passage Retrieval. - Suraj Nair, Douglas W. Oard:
Probabilistic Structured Queries: The University of Maryland at the TREC 2022 NeuCLIR Track. - Nathaniel W. Rollings, Peter A. Rankel, Douglas W. Oard:
Multi-Faceted Question Fusion in the TREC 2022 CrisisFACTS Track. - Yizheng Huang, Jimmy X. Huang:
York University at TREC 2022: Deep Learning Track.
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