Learning to Rank Hypernyms of Financial Terms Using Semantic Textual Similarity

Author:

Ghosh SohomORCID,Chopra AnkushORCID,Naskar Sudip KumarORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference55 articles.

1. Akl HA, Mariko D, de Mazancourt H. Yseop at FinSim-3 shared task 2021: Specializing financial domain learning with phrase representations. In Proceedings of the Third Workshop on Financial Technology and Natural Language Processing, 2021. p. 52–7, Online https://aclanthology.org/2021.finnlp-1.9. Accessed May 2022.

2. Anand V, Agrawal Y, Pol A, Varma V. FINSIM20 at the FinSim task: Making sense of text in financial domain. In Proceedings of the Second Workshop on Financial Technology and Natural Language Processing, Kyoto. 2020. p. 104–7. https://www.aclweb.org/anthology/2020.finnlp-1.17. Accessed May 2022.

3. Araci D. Finbert: Financial sentiment analysis with pre-trained language models. 2019. arXiv preprint arXiv:1908.10063. https://doi.org/10.48550/arXiv.1908.10063. Accessed May 2022.

4. Auer S, Bizer C, Kobilarov G, Lehmann J, Cyganiak R, Ives Z. Dbpedia: A nucleus for a web of open data. In: The Semantic Web, ISWC’07, ASWC’07, p. 722–35. Berlin, Heidelberg: Springer-Verlag; 2007. https://doi.org/10.1007/978-3-540-76298-0_52. Accessed May 2022.

5. Augenstein I, Das M, Riedel S, Vikraman L, McCallum A. SemEval 2017 task 10: ScienceIE - extracting keyphrases and relations from scientific publications. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). Vancouver: Association for Computational Linguistics; 2017. p. 546–55. https://doi.org/10.18653/v1/S17-2091., https://aclanthology.org/S17-2091. Accessed May 2022.

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