Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Yajuan Lyu"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Spurred by causal structure learning (CSL) ability to reveal the cause–effect connection, significant research efforts have been made to enhance the scalability of CSL algorithms in various artificial intelligence applications. However, le
Externí odkaz:
https://doaj.org/article/c0d2101b03784ac99393151b57bf30c6
Publikováno v:
Journal of Artificial Intelligence Research. 76:1281-1303
Conditional text generation is supposed to generate a fluent and coherent target text that is faithful to the source text. Although pre-trained models have achieved promising results, they still suffer from the crucial factuality problem. To deal wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a133b9c6be6f28d754eb6d675315083f
https://doi.org/10.1613/jair.1.14267
https://doi.org/10.1613/jair.1.14267
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031306365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2bef62822a662bee7ebfb109a18fb5c
https://doi.org/10.1007/978-3-031-30637-2_1
https://doi.org/10.1007/978-3-031-30637-2_1
Publikováno v:
AAAI
This paper focuses on the answer sentence selection task. Unlike previous work, which only models the relation between the question and each candidate sentence, we propose Multi-Perspective Graph Encoder (MPGE) to take the relations among the candida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd32970bd82593d867ddde611eab2a74
https://doi.org/10.1609/aaai.v34i05.6436
https://doi.org/10.1609/aaai.v34i05.6436
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d126ad35dc6ae51da88a3a94ea898d91
https://doi.org/10.18653/v1/2022.naacl-main.286
https://doi.org/10.18653/v1/2022.naacl-main.286
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ec952fd2c79630141d9221cc2340e86
https://doi.org/10.18653/v1/2022.findings-acl.179
https://doi.org/10.18653/v1/2022.findings-acl.179
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e46bdf91dbafc7b3e13de80f4aedb084
https://doi.org/10.18653/v1/2022.naacl-main.48
https://doi.org/10.18653/v1/2022.naacl-main.48
Publikováno v:
Scientific reports. 12(1)
Spurred by causal structure learning (CSL) ability to reveal the cause–effect connection, significant research efforts have been made to enhance the scalability of CSL algorithms in various artificial intelligence applications. However, less effort
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72cbe7f43ca389518e31db44714a092c
https://pubmed.ncbi.nlm.nih.gov/35322096
https://pubmed.ncbi.nlm.nih.gov/35322096
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
Joint entity and relation extraction is to detect entity and relation using a single model. In this paper, we present a novel unified joint extraction model which directly tags entity and relation labels according to a query word position p, i.e., de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ec0fec5fe4dd83f75fe14a05bc5ef00
https://doi.org/10.1609/aaai.v33i01.33016300
https://doi.org/10.1609/aaai.v33i01.33016300
Publikováno v:
ACL/IJCNLP (Findings)
Link prediction on knowledge graphs (KGs) is a key research topic. Previous work mainly focused on binary relations, paying less attention to higher-arity relations although they are ubiquitous in real-world KGs. This paper considers link prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0e55bbbc9ab1f64ecd4ff4987550f6d
http://arxiv.org/abs/2105.08476
http://arxiv.org/abs/2105.08476