Knowledge extraction with nooj using a syntactico-semantic approach for the arabic utterances understanding

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

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.

Author supplied keywords

Cite

CITATION STYLE

APA

Lhioui, C., Zouaghi, A., & Zrigui, M. (2018). Knowledge extraction with nooj using a syntactico-semantic approach for the arabic utterances understanding. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9624 LNCS, pp. 552–564). Springer Verlag. https://doi.org/10.1007/978-3-319-75487-1_42

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free