Machine learningDeep learning / NLP / CV

Domenski adaptivno sažimanje teksta

Domenski adaptivno sažimanje teksta finetjunuje ili prilagođava prethodno obučeni sekvenca-na-sekvencu jezički model na korpusu ciljnog domena kako bi sažeci bili u skladu sa domenom specifičnim vokabularom, stilom i činjeničnim ograničenjima. Premošćuje jaz između opštih modela za sažimanje obučenih na vestima ili veb podacima i specijalizovanih domena kao što su biomedicinska literatura, pravni dokumenti, naučni radovi ili finansijski izveštaji.

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Izvori

  1. Fabbri, A. R., KryŜiński, W., McCann, B., Xiong, C., Socher, R., & Radev, D. (2021). SummEval: Re-evaluating Summarization Evaluation. Transactions of the Association for Computational Linguistics, 9, 391–409. DOI: 10.1162/tacl_a_00373
  2. Maynez, J., Narayan, S., Bohnet, B., & McDonald, R. (2020). On Faithfulness and Factuality in Abstractive Summarization. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pp. 1906–1919. DOI: 10.18653/v1/2020.acl-main.173

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Domain-adaptive Text Summarization (Domain Adaptation for Abstractive and Extractive Summarization). ScholarGate. https://scholargate.app/sr/deep-learning/domain-adaptive-text-summarization

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ScholarGateDomain-adaptive Text Summarization (Domain-adaptive Text Summarization (Domain Adaptation for Abstractive and Extractive Summarization)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/deep-learning/domain-adaptive-text-summarization · Skup podataka: https://doi.org/10.5281/zenodo.20539026