Stanford CoreNLP provides a set of natural language analysis 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, and mark up the structure of sentences in terms of phrases and word dependencies, indicate which noun phrases refer to the same entities, indicate sentiment, extract open-class relations between mentions, etc.
M. Schwab, R. Jäschke, und F. Fischer. Proceedings of the 6th International Conference on Natural Language and Speech Processing, Seite 99--109. Association for Computational Linguistics, (2023)
F. Haak. Information between Data and Knowledge, Volume 74 von Schriften zur Informationswissenschaft, Werner Hülsbusch, Glückstadt, Gerhard Lustig Award Papers.(2021)
R. Snow, B. O'Connor, D. Jurafsky, und A. Ng. Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, Seite 254--263. Honolulu, Hawaii, Association for Computational Linguistics, (Oktober 2008)
G. Muzny, M. Fang, A. Chang, und D. Jurafsky. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, Seite 460--470. Valencia, Spain, Association for Computational Linguistics, (April 2017)
C. Scheible, R. Klinger, und S. Padó. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Seite 1736--1745. Berlin, Germany, Association for Computational Linguistics, (August 2016)