Textual Entailment Recognition with Semantic Features from Empirical Text Representation
Document Type: | Conference Object |
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Language: | English |
Author: | Md Shajalal, Md. Atabuzzaman, Maksuda Bilkis Baby, Md. Rezaul Karim, Alexander Boden |
Parent Title (English): | Kumar M, Chakravarthi et al. (Eds.): Speech and Language Technologies for Low-Resource Languages. First International Conference, SPELLL 2022, Kalavakkam, India, November 23–25, 2022, Proceedings |
Number of pages: | 13 |
First Page: | 183 |
Last Page: | 195 |
ISBN: | 978-3-031-33230-2 |
DOI: | https://doi.org/10.1007/978-3-031-33231-9_12 |
Publisher: | Springer |
Place of publication: | Cham |
Date of first publication: | 2023/05/29 |
Copyright: | © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG |
Keyword: | Machine Learning; NLP; Semantic representation; Textual entailment; Word embedding |
Departments, institutes and facilities: | Fachbereich Wirtschaftswissenschaften |
Institut für Verbraucherinformatik (IVI) | |
Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
Entry in this database: | 2023/06/27 |