The Stanford CoreNLP Natural Language Processing Toolkit

被引：3842

作者：

Manning, Christopher D. ^{[1
]}

Surdeanu, Mihai ^{[2
]}

Bauer, John ^{[3
]}

Finkel, Jenny ^{[4
]}

Bethard, Steven J. ^{[5
]}

McClosky, David ^{[6
]}

机构：

[1] Stanford Univ, Linguist & Comp Sci, Stanford, CA 94305 USA

[2] Univ Arizona, SISTA, Tucson, AZ 85721 USA

[3] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA

[4] Prismatic Inc, San Francisco, CA USA

[5] Univ Alabama Birmingham, Comp & Informat Sci, Birmingham, AL USA

[6] IBM Res, Armonk, NY USA

来源：

PROCEEDINGS OF 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS | 2014年

关键词：

D O I：

10.3115/v1/p14-5010

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe the design and use of the Stanford CoreNLP toolkit, an extensible pipeline that provides core natural language analysis. This toolkit is quite widely used, both in the research NLP community and also among commercial and government users of open source NLP technology. We suggest that this follows from a simple, approachable design, straightforward interfaces, the inclusion of robust and good quality analysis components, and not requiring use of a large amount of associated baggage.

引用

页码：55 / 60

页数：6

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