A discourse-based approach for Arabic question answering

Journal article

Sadek, J and Meziane, F. 2016. A discourse-based approach for Arabic question answering. ACM Transactions on Asian and Low-Resource Language Information Processing. Vol 16 (Issue 2, Article: 11), pp. 1 - 18. https://doi.org/10.1145/2988238
AuthorsSadek, J and Meziane, F.
Abstract

The treatment of complex questions with explanatory answers involves searching for arguments in texts. Because of the prominent role that discourse relations play in reflecting text-producers’ intentions, capturing the underlying structure of text constitutes a good instructor in this issue. From our extensive review, a system for automatic discourse analysis that creates full rhetorical structures in large scale Arabic texts is currently unavailable. This is due to the high computational complexity involved in processing a large number of hypothesized relations associated with large texts. Therefore, more practical approaches should be investigated. This paper presents a new Arabic Text Parser oriented for question answering systems dealing with لماذا “why” and كيف “how to” questions. The Text Parser presented here considers the sentence as the basic unit of text and incorporates a set of heuristics to avoid computational explosion. With this approach, the developed question answering system reached a significant improvement over the baseline with a Recall of 68% and MRR of 0.62.

KeywordsArabic question answering; ; Discourse analysis; ; Information extraction
Year2016
JournalACM Transactions on Asian and Low-Resource Language Information Processing
Journal citationVol 16 (Issue 2, Article: 11), pp. 1 - 18
PublisherACM
ISSN2375-4699
2375-4702
Digital Object Identifier (DOI)https://doi.org/10.1145/2988238
Web address (URL)http://dx.doi.org/10.1145/2988238
Output statusPublished
Publication dates
Online04 Nov 2016
Publication process dates
Accepted01 Aug 2016
Deposited05 Jun 2023
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