The Stanford CoreNLP Natural Language Processing Toolkit
作者： David McClosky , Christopher Manning , Mihai Surdeanu , John Bauer , Jenny Finkel
DOI: 10.3115/V1/P14-5010
关键词: SIMPLE (military communications protocol) 、 Pipeline (software) 、 Quality (business) 、 Artificial intelligence 、 Computer science 、 Natural language processing 、 Government (linguistics)
摘要: We describe the design and use of Stanford CoreNLP toolkit, an extensible pipeline that provides core natural language analysis. This toolkit is quite widely used, both in research NLP community also among commercial government users open source technology. suggest this follows from a simple, approachable design, straightforward interfaces, inclusion robust good quality analysis components, not requiring large amount associated baggage.
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