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Triple extraction using lexical pattern-based syntax model

Huynh, A.L. and Nguyen, H.S. and Duong, T.H. (2016) Triple extraction using lexical pattern-based syntax model. In: 4th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2016, 2 May 2016 through 3 May 2016.

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Abstract

This work proposed a new approach to extract relations and their arguments from natural language text without knowledge base. Using the grammar of English language, it allows detecting sentence based on verb types and phrasal verb in terms of extraction. In addition, this approach is able to extract the properties of objects/entities mentioned in text corpus, which previous works have not yet explored. Experimental result is performed by using various real-world datasets which were used by ClausIE and Ollie, and other text were found in the Internet. The result shows that our method is significant in comparison with ClausIE and Ollie. © Springer International Publishing Switzerland 2016.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculties > Faculty of Special Equipments
Identification Number: 10.1007/978-3-319-38884-7_19
Uncontrolled Keywords: Computational linguistics; Knowledge based systems; Natural language processing systems; Semantics; English languages; Knowledge base; Lexical patterns; Natural language text; New approaches; Real-world datasets; Sentence-based; Text corpora; Data mining
Additional Information: Conference code: 174319. Language of original document: English.
URI: http://eprints.lqdtu.edu.vn/id/eprint/9876

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