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Home/Tasks/Stanford CoreNLP
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Stanford CoreNLP

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Should you use Stanford CoreNLP?

A suite of core natural language processing tools in Java.

Category

Audio & Music

Data confidence: release and verification fields are source-audited when available; other summary fields are community-aggregated.

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Overview

Stanford CoreNLP offers a comprehensive suite of NLP tools implemented in Java. It provides functionalities for tokenization, sentence splitting, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, coreference resolution, sentiment analysis, quote attribution, and relation extraction. The pipeline architecture allows users to process raw text, apply a series of annotators, and generate rich linguistic annotations. CoreNLP supports multiple languages, including English, Chinese, Arabic, and several European languages. It's designed to be extensible and customizable, allowing developers to integrate NLP capabilities into their applications. A commercial license is needed for use in proprietary software.

Common tasks

Named Entity RecognitionParsingCoreference ResolutionSentiment AnalysisText Annotation

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