ECNU-ICA team at TREC 2019 Precision Medicine Track

Qi Zheng; Yong Li; Jiaying Hu; Yi Xue; Yan Yang; Liang He

ECNU-ICA team at TREC 2019 Precision Medicine Track

Qi Zheng
, Yong Li
, Jiaying Hu
, Yi Xue
, Yan Yang
, Liang He

计算机科学与技术学院

East China Normal University
University of Nottingham Ningbo China

科研成果: 会议稿件 › 论文 › 同行评审

5 引用（Scopus）

摘要

In this paper, we describe our biomedical retrieval system used in TREC 2019 precision medicine track. Based on existing querying framework, we develop a multi-pass retrieval system to adaptively refine query template based on indexing feedback. After initial retrieval process, We further re-rank the retrieved documents using language model based re-ranker to get the final results.

源语言	英语
出版状态	已出版 - 2019
活动	28th Text REtrieval Conference, TREC 2019 - Gaithersburg, 美国期限: 13 11月 2019 → 15 11月 2019

会议

会议	28th Text REtrieval Conference, TREC 2019
国家/地区	美国
市	Gaithersburg
时期	13/11/19 → 15/11/19

其它文件与链接

链接到 Scopus 的出版物

引用此

@conference{852cc07a6b344efe89d5f4521b2edffa,

title = "ECNU-ICA team at TREC 2019 Precision Medicine Track",

abstract = "In this paper, we describe our biomedical retrieval system used in TREC 2019 precision medicine track. Based on existing querying framework, we develop a multi-pass retrieval system to adaptively refine query template based on indexing feedback. After initial retrieval process, We further re-rank the retrieved documents using language model based re-ranker to get the final results.",

author = "Qi Zheng and Yong Li and Jiaying Hu and Yi Xue and Yan Yang and Liang He",

note = "Publisher Copyright: {\textcopyright} 2019 28th Text REtrieval Conference, TREC 2019 - Proceedings. All Rights Reserved.; 28th Text REtrieval Conference, TREC 2019 ; Conference date: 13-11-2019 Through 15-11-2019",

year = "2019",

language = "英语",

}

TY - CONF

T1 - ECNU-ICA team at TREC 2019 Precision Medicine Track

AU - Zheng, Qi

AU - Li, Yong

AU - Hu, Jiaying

AU - Xue, Yi

AU - Yang, Yan

AU - He, Liang

PY - 2019

Y1 - 2019

N2 - In this paper, we describe our biomedical retrieval system used in TREC 2019 precision medicine track. Based on existing querying framework, we develop a multi-pass retrieval system to adaptively refine query template based on indexing feedback. After initial retrieval process, We further re-rank the retrieved documents using language model based re-ranker to get the final results.

AB - In this paper, we describe our biomedical retrieval system used in TREC 2019 precision medicine track. Based on existing querying framework, we develop a multi-pass retrieval system to adaptively refine query template based on indexing feedback. After initial retrieval process, We further re-rank the retrieved documents using language model based re-ranker to get the final results.

UR - https://www.scopus.com/pages/publications/85145385678

M3 - 论文

AN - SCOPUS:85145385678

T2 - 28th Text REtrieval Conference, TREC 2019

Y2 - 13 November 2019 through 15 November 2019

ER -

ECNU-ICA team at TREC 2019 Precision Medicine Track

摘要

会议

其它文件与链接

指纹

引用此