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.
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Huynh, A.L., Nguyen, H.S., Duong, T.H. (2016). Triple Extraction Using Lexical Pattern-based Syntax Model. In: Nguyen, T.B., van Do, T., An Le Thi, H., Nguyen, N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-319-38884-7_19
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