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The Stanford CoreNLP Natural Language Processing Toolkit

Describes Stanford CoreNLP, an extensible pipeline for core natural language analysis widely used in research, commercial, and government settings.

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The Stanford CoreNLP Natural Language Processing Toolkit

By Christopher D. Manning, M. Surdeanu, John Bauer et al.Annual Meeting of the Association for Computational Linguistics
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The paper describes the design and use of Stanford CoreNLP, an extensible processing pipeline that provides core natural language analysis components. It emphasizes a simple, approachable design with straightforward interfaces so that a range of users can integrate robust natural language processing into their work.

The toolkit is widely used both in the research NLP community and among commercial and government users of open-source NLP technology. The authors suggest this broad adoption follows from its approachable design, robust and good-quality analysis components, and its avoidance of requiring a large amount of associated baggage.

Abstract

The paper presents the design and use of the Stanford CoreNLP toolkit, an extensible pipeline that provides core natural language analysis. It is widely adopted both in the research NLP community and among commercial and government users of open-source NLP technology. The authors attribute this uptake to a simple, approachable design, straightforward interfaces, robust and good-quality analysis components, and not requiring a large amount of associated baggage.

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natural language processingNLP toolkittext analysis pipelineopen-source softwareCoreNLP
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