Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016)

被引：3

作者：

Cabanac, Guillaume ^{[1
]}

Chandrasekaran, Muthu Kumar ^{[2
]}

Frommholz, Ingo ^{[3
]}

Jaidka, Kokil ^{[4
]}

Kan, Min-Yen ^{[2
]}

Mayr, Philipp ^{[5
]}

Wolfram, Dietmar ^{[6
]}

机构：

[1] Univ Toulouse, Toulouse, France

[2] NUS Sch Comp, Singapore, Singapore

[3] Univ Bedfordshire, Luton, Beds, England

[4] Adobe Syst Inc, Bangalore, Karnataka, India

[5] GESIS Leibniz Inst Social Sci, Leibniz, Germany

[6] Univ Wisconsin, Milwaukee, WI 53201 USA

来源：

2016 IEEE/ACM JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL) | 2016年

关键词：

Bibliometrics; Information Retrieval; Digital Libraries; Natural Language Processing; Text Mining;

D O I：

10.1145/2910896.2926734

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The large scale of scholarly publications poses a challenge for scholars in information-seeking and sensemaking. Bibliometric, information retrieval (IR), text mining and NLP techniques could help in these activities, but are not yet widely used in digital libraries. This workshop is intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric and recommendation techniques which can advance the state-of-the-art in scholarly document understanding, analysis and retrieval at scale.

引用

页码：299 / 300

页数：2

共 25 条

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