Textual Entailment Recognition with Semantic Features from Empirical Text Representation
| Document Type: | Conference Object |
|---|---|
| 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 |
