Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017)

被引:0
|
作者
Chandrasekaran, Muthu Kumar [1 ]
Jaidka, Kokil [2 ]
Mayr, Philipp [3 ]
机构
[1] Natl Univ Singapore, Sch Comp, Singapore, Singapore
[2] Univ Penn, Sch Arts & Sci, Philadelphia, PA 19104 USA
[3] GESIS Leibniz Inst Social Sci, Mannheim, Germany
来源
SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL | 2017年
关键词
Scientometrics; Information Retrieval; Digital Libraries; NLP; Summarization; Information Extraction; Citation analysis;
D O I
10.1145/3077136.3084370
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The large scale of scholarly publications poses a challenge for scholars in information seeking and sensemaking. Bibliometrics, information retrieval (IR), text mining and NLP techniques could help in these search and look-up activities, but are not yet widely used. This workshop is intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometrics, text mining and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The BIRNDL workshop at SIGIR 2017 will incorporate an invited talk, paper sessions and the third edition of the Computational Linguistics (CL) Scientific Summarization Shared Task.
引用
收藏
页码:1421 / 1422
页数:2
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