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Part-of-Speech Tagging, Phrase Chunking and Named Entity Recognition with Python NLTK. Taggers and chunkers trained on treebank, brown, conll2000, ieer.
Stanford CoreNLP provides a set of human language technology tools. It can give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and syntactic dependencies, indicate which noun phrases refer to the same entities, indicate sentiment, extract particular or open-class relations between entity mentions, get the quotes people said, etc.
K. Hashimoto, C. Xiong, Y. Tsuruoka, и R. Socher. (2016)cite arxiv:1611.01587Comment: Accepted as a full paper at the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017).
R. Reichart, и A. Rappoport. Proceedings of the Thirteenth Conference on Computational Natural Language Learning, стр. 156--164. Stroudsburg, PA, USA, Association for Computational Linguistics, (2009)