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2020 | OriginalPaper | Buchkapitel

Sentential Semantic Dependency Parsing for Vietnamese

verfasst von : Tuyen Thi-Thanh Do, Dang Tuan Nguyen

Erschienen in: Future Data and Security Engineering

Verlag: Springer International Publishing

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Abstract

Semantic dependency parse is the dependency graph of a sentence. This graph shows the grammatical dependencies between words in a sentence clearer than the dependency parse because it allows one word possibly be the dependant in two or more dependencies in a sentence. Therefore, it has been used to represent the meaning of a sentence. In order to represent the meaning of a sentence in Vietnamese, a method of parsing the sentence into semantic dependencies is proposed in this paper. This rule-based method transforms the result of Vietnamese dependency parser by using semantic constraints existing in a lexicon ontology called VLO. The test result shows that the proposed method can capture more dependencies than the state-of-the-art Vietnamese dependency parser with the precisions respectively being 0.5328 and 0.3113.

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Vorheriges Kapitel Toward an Ontology for Improving Process Flexibility

Nächstes Kapitel An In-depth Analysis of OCR Errors for Unconstrained Vietnamese Handwriting

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Titel: Sentential Semantic Dependency Parsing for Vietnamese
verfasst von: Tuyen Thi-Thanh Do
Dang Tuan Nguyen
Verlag: Springer International Publishing
Buch: Future Data and Security Engineering
Print ISBN: 978-3-030-63923-5

Electronic ISBN: 978-3-030-63924-2

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-63924-2_25

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