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pro vyhledávání: '"Chu, Cuong"'
Large Language Models (LLMs) have demonstrated unprecedented prowess across various natural language processing tasks in various application domains. Recent studies show that LLMs can be leveraged to perform lexical semantic tasks, such as Knowledge
Externí odkaz:
http://arxiv.org/abs/2407.19998
Autor:
Daza, Daniel, Chu, Cuong Xuan, Tran, Trung-Kien, Stepanova, Daria, Cochez, Michael, Groth, Paul
Similarity search is a fundamental task for exploiting information in various applications dealing with graph data, such as citation networks or knowledge graphs. While this task has been intensively approached from heuristics to graph embeddings and
Externí odkaz:
http://arxiv.org/abs/2407.07639
State-of-the-art methods on conversational recommender systems (CRS) leverage external knowledge to enhance both items' and contextual words' representations to achieve high quality recommendations and responses generation. However, the representatio
Externí odkaz:
http://arxiv.org/abs/2304.09093
Taxonomies are important building blocks of structured knowledge bases, and their construction from text sources and Wikipedia has received much attention. In this paper we focus on the construction of taxonomies for fictional domains, using noisy ca
Externí odkaz:
http://arxiv.org/abs/1901.10263
This paper presents an approach to the task of predicting an event description from a preceding sentence in a text. Our approach explores sequence-to-sequence learning using a bidirectional multi-layer recurrent neural network. Our approach substanti
Externí odkaz:
http://arxiv.org/abs/1709.06033
Autor:
Morozumi, Yuichi, Hayashi, Yumi, Chu, Cuong Minh, Sofyantoro, Fajar, Akikusa, Yutaka, Fukuda, Tomoyuki, Shiozaki, Kazuhiro
Publikováno v:
FEBS Letters; Dec2024, Vol. 598 Issue 23, p2886-2896, 11p
Akademický článek
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Autor:
Chu, Cuong Xuan
Knowledge extraction from text is a key task in natural language processing, which involves many sub-tasks, such as taxonomy induction, named entity recognition and typing, relation extraction, knowledge canonicalization and so on. By constructing st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ef667190baa38d72351cd3be2f46d48
https://hdl.handle.net/21.11116/0000-000A-9598-2
https://hdl.handle.net/21.11116/0000-000A-9598-2
Autor:
Phan, Sang Minh1 (AUTHOR) sang.phan@uq.edu.au, Pham, Dung2,3 (AUTHOR), Chu, Cuong1,4 (AUTHOR)
Publikováno v:
Forest Ecology & Management. Jun2024, Vol. 561, pN.PAG-N.PAG. 1p.
Akademický článek
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