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27th TREC 2019: Gaithersburg, MD, USA
- Ellen M. Voorhees, Angela Ellis:
Proceedings of the Twenty-Eighth Text REtrieval Conference, TREC 2019, Gaithersburg, Maryland, USA, November 13-15, 2019. NIST Special Publication 1250, National Institute of Standards and Technology (NIST) 2019
Overview Papers
- Kirk Roberts, Dina Demner-Fushman, Ellen M. Voorhees, William R. Hersh, Steven Bedrick, Alexander J. Lazar, Shubham Pant, Funda Meric-Bernstam:
Overview of the TREC 2019 Precision Medicine Track.
Participant Papers
- Piyush Arora, Abhishek Kaushik, Gareth J. F. Jones:
DCU at the TREC 2019 Conversational Assistance Track. - Julien Knafou, Matt Jeffryes, Luc Mottin, Douglas Teodoro, Patrick Ruch:
SIB Text Mining at TREC 2019 Deep Learning Track: Working Note. - Déborah Caucheteur, Emilie Pasche, Julien Gobeill, Anaïs Mottaz, Luc Mottin, Patrick Ruch:
Designing retrieval models to contrast precision-driven ad hoc search vs. recall-driven treatment extraction in Precision Medicine. - George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff:
Brown University at TREC Deep Learning 2019. - Abdullah Ahmed, Gil Alon, Bashar Zaidat, Isaac Nathoo, Hwai-Liang Tung, Charles Wang, Carsten Eickhoff:
Brown University at TREC Precision Medicine 2019. - Won-Gyu Choi, Kyung-Soon Lee:
CBNU at TREC 2019 Incident Streams Track. - Seung-Hyeon Jo, Kyung-Soon Lee:
CBNU at TREC 2019 Precision Medicine Track. - Xiaofeng Liu, Lu Li, Zuoxi Yang, Shoubin Dong:
SCUT-CCNL at TREC 2019 Precision Medicine Track. - Hao Hu, Junmei Wang, Xinhui Tu, Tingting He:
CCNU_IRGroup @ TREC 2019 Deep Learning Track. - Jheng-Hong Yang, Sheng-Chieh Lin, Chuan-Ju Wang, Jimmy Lin, Ming-Feng Tsai:
Query and Answer Expansion from Conversation History. - Danny T. Y. Wu, Wu-Chen Su, James J. Lee:
Retrieving Scientific Abstracts using Venue- and Concept-based Approaches: CincyMedIR at TREC 2019 Precision Medicine Track. - Sondess Missaoui, Andrew MacFarlane, Stephann Makri, Marisela Gutierrez-Lopez:
DMINR at TREC News Track. - Vaibhav Kumar, Jamie Callan:
A Step towards Context Identification for Conversational Search. - Zhuyun Dai, Jamie Callan:
An Evaluation of Weakly-Supervised DeepCT in the TREC 2019 Deep Learning Track. - Gustavo Gonçalves, João Magalhães, Jamie Callan:
Proximity-Based Entity Ranking. - Junpei Zhou, Xinyu Wang, Po-Yao Huang, Alexander G. Hauptmann:
CMU-Informedia at TREC 2019 Incident Streams Track. - Congcong Wang, David Lillis:
Classification for Crisis-Related Tweets Leveraging Word Embeddings and Data Augmentation. - Maciej Rybinski, Sarvnaz Karimi
, Cécile Paris:
CSIRO at 2019 TREC Precision Medicine Track. - Hamada M. Zahera, Ibrahim A. Elgendy, Rricha Jalota, Mohamed Ahmed Sherif:
Fine-tuned BERT Model for Multi-Label Tweets Classification. - Anna M. Kruspe, Jens Kersten, Friederike Klan:
Classification of Incident-related Tweets: Exploiting Word and Sentence Embeddings. - Massimo Melucci:
Testing Fairness Using the Log-likelihood Ratio. - Jingkun Feng, Zhihao Yang, Zhiqiang Liu, Ling Luo, Hongfei Lin, Jian Wang:
DUTIR at TREC 2019: Precision Medicine Track. - Yucheng Li, Yuxiang Sun, Jun Zhang, Pei Huo, Yan Yang, Liang He:
LINBER: A Retrieval-based Conversational Assistant using Entity Linking and BERT. - Qi Zheng, Yong Li, Jiaying Hu, Yan Yang, Liang He, Yi Xue:
ECNU-ICA team at TREC 2019 Precision Medicine Track. - Changying Hao, Yuanyuan Zhang, Weifeng Yang, Heng Zhao:
ICTNET at Trec 2019 Conversational Assistance Track. - Hongfei Ren, Ruibin Xiong, Yutao Zeng, Jiangui Chen, Yinqiong Cai, Haoquan Jiang:
ICTNET at TREC 2019 Complex Answer Retrieval Track. - Wanqing Cui, Yan Jiang, Shuchang Tao, Hanzhang Guo:
ICTNET at Trec 2019 Decision Track. - Jiangui Chen, Yinqiong Cai, Haoquan Jiang:
ICTNET at TREC 2019 Deep Learning Track. - Meng Wang, Haopeng Zhang, Fuhuai Liang, Bin Feng, Di Zhao:
ICT at TREC 2019: Fair Ranking Track. - Guangsheng Kuang, Kun Zhang, Jiabao Zhang, Xin Zheng:
ICTNET at Trec 2019 Incident Streams Track. - Yuyang Ding, Xiaoying Lian, Houquan Zhou, Zhaoge Liu, Hanxing Ding, Zhongni Hou:
ICTNET at TREC 2019 News Track. - Ming Yan, Chenliang Li, Chen Wu, Bin Bi, Wei Wang, Jiangnan Xia, Luo Si:
IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling. - Akanksha Mishra, Sukomal Pal:
IIT BHU at TREC 2019 Incident Streams Track. - Pilar López-Úbeda, José Antonio Vera-Ramos, Pablo López-García:
TREC 2019 Precision Medicine - Medical University of Graz. - Giorgio Maria Di Nunzio, Stefano Marchesin, Maristella Agosti:
Exploring how to Combine Query Reformulations for Precision Medicine. - Malte Bonart:
Fair ranking in academic search - Notebook for the TREC 2019 Fair Ranking Track. - Alexis Dusart, Gilles Hubert, Karen Pinel-Sauvagnat:
IRIT at TREC 2019: Incident Streams and Complex Answer Retrieval Tracks. - Erik Faessler, Udo Hahn, Michel Oleynik:
JULIE Lab & Med Uni Graz @ TREC 2019 Precision Medicine Track. - Bhaskar Mitra, Nick Craswell:
DUET AT TREC 2019 DEEP LEARNING TRACK. - Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum:
CROWN: Conversational Passage Ranking by Reasoning over Word Networks. - Samarth Mehrotra, Andrew Yates:
MPII at TREC CAsT 2019: Incoporating Query Context into a BERT Re-ranker. - Kenan Fayoumi, Reyyan Yeniterzi:
OzU-NLP at TREC NEWS 2019: Entity Ranking. - Artur Cieslewicz, Jakub Dutkiewicz, Czeslaw Jedrzejek:
Poznan Contribution to TREC-PM 2019. - Marwa Essam, Tamer Elsayed:
bigIR at TREC 2019: Graph-based Analysis for News Background Linking. - Xiaochen Zuo, Xue Yang, Zhicheng Dou, Ji-Rong Wen:
RUCIR at TREC 2019: Conversational Assistance Track. - Chris Kamphuis, Faegheh Hasibi, Arjen P. de Vries, Tanja Crijns:
Radboud University at TREC 2019. - John Foley, Ananda Montoly, Mayeline Pena:
Smith at TREC2019: Learning to Rank Background Articles with Poetry Categories and Keyphrase Extraction. - Jordan Ramsdell, Sumanta Kashyapi, Shubham Chatterjee, Pooja Oza, Laura Dietz
TREMA-UNH at CAR 2019. - Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. - Yun Gao, Xin Kang, Fuji Ren, Haitao Yu:
TUA1 at the TREC 2019: Deep Learning Track. - Mahsa S. Shahshahani, Jaap Kamps, Maarten Marx:
University of Amsterdam at the TREC 2019 Complex Answer Retrieval Track. - Xuanang Chen, Canjia Li, Ben He, Yingfei Sun:
UCAS at TREC-2019 Deep Learning Track. - Disen Wang, Hui Fang:
Exploring Query Reformulation for Conversational Information Seeking. - Di Zhao, Hui Fang:
Higway BERT for Passage Ranking. - Kuang Lu, Hui Fang:
Leveraging Entities in Background Document Retrieval for News Articles. - Helia Hashemi, W. Bruce Croft:
UMass at TREC 2019 Conversational Assistance Track. - Jiaming Qu, Yue Wang:
UNC SILS at TREC 2019 News Track. - Jiaming Qu, Yue Wang:
UNC SILS at TREC 2019 Precision Medicine Track. - Juan Pablo Consuegra-Ayala, Giovanni Stilo, Alessandro Celi, Amleto Di Salle:
Deep Learning Approach for the Precision Medicine Track. - Graham McDonald, Iadh Ounis, Craig Macdonald, Thibaut Thonet, Jean-Michel Renders:
University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track. - Ting Su, Xi Wang, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2019 Deep Learning Track. - Jimmy, Guido Zuccon:
UQ IElab at TREC 2019 Decision Track. - Vu Anh Le, Gianluca Demartini:
UQ at the TREC 2019 News Track. - Esteban A. Ríssola, Manajit Chakraborty, Fabio Crestani, Mohammad Aliannejadi:
Predicting Relevant Conversation Turns for Improved Retrieval in Multi-Turn Conversational Search. - Nikos Voskarides, Dan Li, Andreas Panteli, Pengjie Ren:
ILPS at TREC 2019 Conversational Assistant Track. - Mustafa Abualsaud, Fuat Can Beylunioglu, Mark D. Smucker, P. Robert Duimering:
UWaterlooMDS at the TREC 2019 Decision Track. - Vasileios Stamatis, Leif Azzopardi, Alan Wilson:
VES Team at TREC Conversational Assistance Track (CAsT) 2019. - Charles L. A. Clarke:
WaterlooClarke at the TREC 2019 Conversational Assistant Track. - Alexander Bondarenko, Maik Fröbe, Vaibhav Kasturia, Matthias Hagen, Michael Völske, Benno Stein:
Webis at TREC 2019: Decision Track.
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