· 2014
The Stanford CoreNLP Natural Language Processing Toolkit
- 7,250citations
- 2014year
Short summary
Stanford CoreNLP provides a unified framework for a wide range of natural language processing tasks, including tokenization, part-of-speech tagging, lemmatization, named entity recognition, parsing, and coreference resolution.
AI-generated from the title and abstract; the full text is not read.
Key points
- CoreNLP integrates multiple NLP tasks into a single annotation pipeline.
- It provides tools for tokenization, POS tagging, lemmatization, NER, parsing, and coreference resolution.
- The toolkit aims for ease of use and broad applicability in NLP research and development.
AI-generated from the title and abstract; the full text is not read.
Abstract
Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, David McClosky. Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations. 2014.
The authors' abstract, as published at the source., 2014 · DOI ↗
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Field: Artificial Intelligence
Artificial IntelligenceComputer Science