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2018 | OriginalPaper | Buchkapitel

Knowledge Extraction with NooJ Using a Syntactico-Semantic Approach for the Arabic Utterances Understanding

verfasst von : Chahira Lhioui, Anis Zouaghi, Mounir Zrigui

Erschienen in: Computational Linguistics and Intelligent Text Processing

Verlag: Springer International Publishing

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Abstract

Regarding the amelioration of NLP field, knowledge extraction has become an interesting research topic. Indeed, the need to an improvement through the NLP techniques has become also necessary and advantageous. Hence, in a general context of the construction of an Arabic touristic corpus equivalent to those of European projects MEDIA and LUNA, and due to the lack of Arabic electronic resources, we had the opportunity to expand the EL-DicAr of [11] by knowledge hinging on Touristic Information and Hotel Reservations (TIHR). Thus, in the same manner of [11], we have developed local grammars for the recognition of essential knowledge in our field of study. This task facilitates greatly the subsequent work of understanding user utterances interacting with a dialogue system.

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Vorheriges Kapitel End-to-End Relation Extraction Using Markov Logic Networks

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Titel: Knowledge Extraction with NooJ Using a Syntactico-Semantic Approach for the Arabic Utterances Understanding
verfasst von: Chahira Lhioui
Anis Zouaghi
Mounir Zrigui
Verlag: Springer International Publishing
Buch: Computational Linguistics and Intelligent Text Processing
Print ISBN: 978-3-319-75486-4

Electronic ISBN: 978-3-319-75487-1

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-75487-1_42

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