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.
S. Pudasaini, S. Ghimire, P. Ale, A. Shakya, P. Paudel, und B. Joshi. Proceedings of the 2024 7th International Conference on Computers in Management and Business, Seite 144–150. New York, NY, USA, Association for Computing Machinery, (Januar 2024)
P. Moreira, Y. Bizzoni, K. Nielbo, I. Lassen, und M. Thomsen. Proceedings of the The 5th Workshop on Narrative Understanding, Seite 25--35. Toronto, Canada, Association for Computational Linguistics, (Juli 2023)
J. Pfister, S. Wankerl, und A. Hotho. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), Seite 1313--1323. Seattle, United States, Association for Computational Linguistics, (Juli 2022)
J. Pfister, S. Wankerl, und A. Hotho. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), Seite 1313--1323. Seattle, United States, Association for Computational Linguistics, (Juli 2022)
J. Pfister, S. Wankerl, und A. Hotho. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), Seite 1313--1323. Seattle, United States, Association for Computational Linguistics, (Juli 2022)
F. Haak. Information between Data and Knowledge, Volume 74 von Schriften zur Informationswissenschaft, Werner Hülsbusch, Glückstadt, Gerhard Lustig Award Papers.(2021)
M. Hasan, J. Tajrin, S. Chowdhury, und F. Alam. International Conference on Computer and Information Technology (ICCIT), (2020)cite arxiv:2011.10106Comment: Accepted at ICCIT-2020.
E. Kim, und R. Klinger. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Seite 647--653. Minneapolis, Minnesota, Association for Computational Linguistics, (Juni 2019)
V. Sinha, S. Rao, und V. Balasubramanian. (2018)cite arxiv:1803.02781Comment: 8 pages, 5 tables, 1 figure, KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) 2018.
A. Maas, R. Daly, P. Pham, D. Huang, A. Ng, und C. Potts. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Seite 142--150. Portland, Oregon, USA, Association for Computational Linguistics, (Juni 2011)
S. Rosenthal, N. Farra, und P. Nakov. (2019)cite arxiv:1912.00741Comment: sentiment analysis, Twitter, classification, quantification, ranking, English, Arabic.
A. Ceobanu, und T. Koropeckyj-Cox. Population Research and Policy Review, 32 (2):
261--284(2013)First published online: October 19, 2012. http://dx.doi.org/10.1007/s11113-012-9260-7. (Eurobarometer).
D. Tang, F. Wei, N. Yang, M. Zhou, T. Liu, und B. Qin. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Seite 1555--1565. Baltimore, Maryland, Association for Computational Linguistics, (Juni 2014)
A. Zehe, M. Becker, F. Jannidis, und A. Hotho. KI 2017: Advances in Artificial Intelligence, Seite 387--394. Cham, Springer International Publishing, (2017)
A. Zehe, M. Becker, F. Jannidis, und A. Hotho. Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz), Seite 387--394. Springer, (2017)
V. Iosifidis, und E. Ntoutsi. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seite 1823--1832. ACM, (2017)