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pro vyhledávání: '"Ahuja, Ojas"'
Generic summaries try to cover an entire document and query-based summaries try to answer document-specific questions. But real users' needs often fall in between these extremes and correspond to aspects, high-level topics discussed among similar typ
Externí odkaz:
http://arxiv.org/abs/2110.08296
Autor:
Ahuja, Ojas, Desai, Shrey
Task-oriented dialog models typically leverage complex neural architectures and large-scale, pre-trained Transformers to achieve state-of-the-art performance on popular natural language understanding benchmarks. However, these models frequently have
Externí odkaz:
http://arxiv.org/abs/2006.03701
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Generic summaries try to cover an entire document and query-based summaries try to answer document-specific questions. But real users' needs often fall in between these extremes and correspond to aspects, high-level topics discussed among similar typ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dcc9dbd7a8c25ef49b57d2bc2f789bf
https://doi.org/10.18653/v1/2022.acl-long.449
https://doi.org/10.18653/v1/2022.acl-long.449
Autor:
Ziems, Caleb1 (AUTHOR) cziems@stanford.edu, Held, William2 (AUTHOR) wheld3@gatech.edu, Shaikh, Omar1 (AUTHOR) oshaikh@stanford.edu, Chen, Jiaao2 (AUTHOR) jiaaochen@gatech.edu, Zhang, Zhehao3 (AUTHOR) zhehao.zhang.gr@dartmouth.edu, Yang, Diyi1 (AUTHOR) diyiy@stanford.edu
Publikováno v:
Computational Linguistics. Mar2024, Vol. 50 Issue 1, p237-291. 55p.