Zobrazeno 1 - 10
of 19 079
pro vyhledávání: '"knowledge access"'
Autor:
Asem, Livingstone1 (AUTHOR) lasem@uhas.edu.gh, Asalu, Geoffrey Adebayo2 (AUTHOR), Seidu, Shaibu2 (AUTHOR), Amable, Blessing Yayra3 (AUTHOR), Kpordze, Gifty Emefa3 (AUTHOR), Takramah, Wisdom Kwami3 (AUTHOR), Amaglo, Emmanuel4 (AUTHOR), Dzokoto, Senanu Kwesi5 (AUTHOR)
Publikováno v:
BMC Health Services Research. 10/14/2024, Vol. 24 Issue 1, p1-7. 7p.
Autor:
Livingstone Asem, Geoffrey Adebayo Asalu, Shaibu Seidu, Blessing Yayra Amable, Gifty Emefa Kpordze, Wisdom Kwami Takramah, Emmanuel Amaglo, Senanu Kwesi Dzokoto
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Introduction In Ghana, access to health care is impeded mostly by financial capital. The National Health Insurance (NHIS) rolled out in 2003 was an attempt to remove cost as a barrier and help bridge this gap in health access. Despite the be
Externí odkaz:
https://doaj.org/article/7b00cd87d05c40e89fecf1011af1face
Organisations generate vast amounts of information, which has resulted in a long-term research effort into knowledge access systems for enterprise settings. Recent developments in artificial intelligence, in relation to large language models, are poi
Externí odkaz:
http://arxiv.org/abs/2312.10076
To alleviate the problem of structured databases' limited coverage, recent task-oriented dialogue systems incorporate external unstructured knowledge to guide the generation of system responses. However, these usually use word or sentence level simil
Externí odkaz:
http://arxiv.org/abs/2212.05373
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 6702-6706
Performance of spoken language understanding (SLU) can be degraded with automatic speech recognition (ASR) errors. We propose a novel approach to improve SLU robustness by randomly corrupting clean training text with an ASR error simulator, followed
Externí odkaz:
http://arxiv.org/abs/2211.03990
Publikováno v:
In Journal of Experimental Child Psychology July 2023 231
Akademický článek
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Most prior work on task-oriented dialogue systems are restricted to limited coverage of domain APIs. However, users oftentimes have requests that are out of the scope of these APIs. This work focuses on responding to these beyond-API-coverage user tu
Externí odkaz:
http://arxiv.org/abs/2106.09174
Autor:
Kim, Seokhwan, Eric, Mihail, Hedayatnia, Behnam, Gopalakrishnan, Karthik, Liu, Yang, Huang, Chao-Wei, Hakkani-Tur, Dilek
Most prior work on task-oriented dialogue systems are restricted to a limited coverage of domain APIs, while users oftentimes have domain related requests that are not covered by the APIs. This challenge track aims to expand the coverage of task-orie
Externí odkaz:
http://arxiv.org/abs/2101.09276
Autor:
Chaudhary, Mudit, Dzodzo, Borislav, Huang, Sida, Lo, Chun Hei, Lyu, Mingzhi, Nie, Lun Yiu, Xing, Jinbo, Zhang, Tianhua, Zhang, Xiaoying, Zhou, Jingyan, Cheng, Hong, Lam, Wai, Meng, Helen
Dialog systems enriched with external knowledge can handle user queries that are outside the scope of the supporting databases/APIs. In this paper, we follow the baseline provided in DSTC9 Track 1 and propose three subsystems, KDEAK, KnowleDgEFactor,
Externí odkaz:
http://arxiv.org/abs/2101.06066