Ahmed, Waheeb and Anto, P. Babu (2019) A Hybrid Question Answering System. Current Journal of Applied Science and Technology, 34 (3). pp. 1-7. ISSN 2457-1024
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Abstract
In this study, we propose a hybrid Question Answering (QA) system for Arabic language. The system combines textual and structured knowledge-Base (KB) data for question answering. It make use of other relevant text data, outside the KB, which could enrich the available information. The system consists of four modules. 1) a KB, 2) an online module, and 3) A Text- to-KB transformer to construct our own knowledge base from web texts. Using these modules, we can query two types of information sources: knowledge bases, and web text. Text-to-KB uses web search results to identify question topic entities, map question words to KB predicates, and enhance the features of the candidates obtained from the KB. The system scored f-measure of .495 when using KB. The system performed better with f-measure of .573 when using both KB and Text-to-KB module. The system demonstrates higher performance by combining knowledge base and text from external resources.
Item Type: | Article |
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Subjects: | AP Academic Press > Multidisciplinary |
Depositing User: | Unnamed user with email support@apacademicpress.com |
Date Deposited: | 10 Apr 2023 05:39 |
Last Modified: | 12 Sep 2024 04:08 |
URI: | http://info.openarchivespress.com/id/eprint/890 |