A question answering system in hadith using linguistic knowledge

Abdi, Asad and Hasan, Shafaatunnur and Arshi, Mohammad and Shamsuddin, Siti Mariyam and Idris, Norisma (2020) A question answering system in hadith using linguistic knowledge. Computer Speech & Language, 60. p. 101023. ISSN 0885-2308, DOI https://doi.org/10.1016/j.csl.2019.101023.

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Official URL: https://doi.org/10.1016/j.csl.2019.101023


Question answering system aims at retrieving precise information from a large collection of documents. This work presents a question answering method to apply on Hadith in order to provide an informative answer corresponding to the user's query. Hadith englobes stories and qualification of the prophet Muhammad (PBSL). It also includes the sayings of his companions and their disciples. The problem with current methods is that they fail to capture the meaning when comparing a sentence and a user's query; hence there is often a conflict between the extracted sentences and user's requirements. However, our proposed method has successfully tackled this problem through: (1) avoiding extract a passage whose similarity with the query is high but whose meaning is different. (2) Computing the semantic and syntactic similarity of the sentence-to-sentence and sentence-to-query. (3) Expanding the words in both the query and sentences to tackle the fundamental problem of term mismatch between sentences and the user's query. Furthermore, in order to reduce redundant Hadith texts, the proposed method uses the greedy algorithm to impose diversity penalty on the sentences. The experimental results display that the proposed method is able to improve performance compared with the existing methods on Hadith datasets. © 2019 Elsevier Ltd

Item Type: Article
Funders: Universiti Teknologi Malaysia (UTM) under research university grant no. 17H62, 03G91, and 04G48
Uncontrolled Keywords: Question answering; Hadith; Text mining; Information extraction; Query expansion
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Mr Faizal 2
Date Deposited: 22 Jan 2015 02:02
Last Modified: 07 Nov 2019 09:02
URI: http://eprints.um.edu.my/id/eprint/12318

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