Neural Methods for Cross-Language Information Retrieval

被引：0

作者：

Yang, Eugene ^{[1
]}

Lawrie, Dawn ^{[1
]}

Mayfield, James ^{[1
]}

Nair, Suraj ^{[2
]}

Oard, Douglas W. ^{[2
]}

机构：

[1] Johns Hopkins Univ, HLTCOE, Baltimore, MD 21218 USA

[2] Univ Maryland, College Pk, MD USA

来源：

PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023 | 2023年

关键词：

Cross-language information retrieval; CLIR; Tutorial;

D O I：

10.1145/3539618.3594244

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This half day tutorial introduces the participant to the basic concepts underlying neural Cross-Language Information Retrieval (CLIR). It discusses the most common algorithmic approaches to CLIR, focusing on modern neural methods; the history of CLIR; where to find and how to use CLIR training collections, test collections and baseline systems; how CLIR training and test collections are constructed; and open research questions in CLIR.

引用

页码：3430 / 3431

页数：2

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