Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Zhou, Ganbin"'
Domain adaptation tasks such as cross-domain sentiment classification aim to utilize existing labeled data in the source domain and unlabeled or few labeled data in the target domain to improve the performance in the target domain via reducing the sh
Externí odkaz:
http://arxiv.org/abs/2112.15290
Publikováno v:
Journal of computer science and technology, 2021
In this paper, we study the problem of extracting variable-depth "logical document hierarchy" from long documents, namely organizing the recognized "physical document objects" into hierarchical structures. The discovery of logical document hierarchy
Externí odkaz:
http://arxiv.org/abs/2105.09297
Recently, improving the relevance and diversity of dialogue system has attracted wide attention. For a post x, the corresponding response y is usually diverse in the real-world corpus, while the conventional encoder-decoder model tends to output the
Externí odkaz:
http://arxiv.org/abs/1905.05532
In this study, we focus on extracting knowledgeable snippets and annotating knowledgeable documents from Web corpus, consisting of the documents from social media and We-media. Informally, knowledgeable snippets refer to the text describing concepts,
Externí odkaz:
http://arxiv.org/abs/1808.07228
Different from other sequential data, sentences in natural language are structured by linguistic grammars. Previous generative conversational models with chain-structured decoder ignore this structure in human language and might generate plausible re
Externí odkaz:
http://arxiv.org/abs/1705.00321
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
Different from other sequential data, sentences in natural language are structured by linguistic grammars. Previous generative conversational models with chain-structured decoder ignore this structure in human language and might generate plausible re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a4858b434b8d8ebd4f656a157975268
https://doi.org/10.1609/aaai.v32i1.11969
https://doi.org/10.1609/aaai.v32i1.11969
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.