NDLI: Boosting Chinese Question Answering with Two Lightweight Methods: ABSPs and SCO-QAT

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Boosting Chinese Question Answering with Two Lightweight Methods: ABSPs and SCO-QAT

Content Provider	ACM Digital Library
Author	Sung, Cheng-Lung Chen, Yu-Ren Day, Min-Yuh Lee, Cheng-Wei Lee, Yi-Hsun Jiang, Tian-Jian Hsu, Wen-Lian Shih, Cheng-Wei Wu, Chia-Wei
Copyright Year	2008
Abstract	Question Answering (QA) research has been conducted in many languages. Nearly all the top performing systems use heavy methods that require sophisticated techniques, such as parsers or logic provers. However, such techniques are usually unavailable or unaffordable for under-resourced languages or in resource-limited situations. In this article, we describe how a top-performing Chinese QA system can be designed by using lightweight methods effectively. We propose two lightweight methods, namely the Sum of Co-occurrences of Question and Answer Terms (SCO-QAT) and Alignment-based Surface Patterns (ABSPs). SCO-QAT is a co-occurrence-based answer-ranking method that does not need extra knowledge, word-ignoring heuristic rules, or tools. It calculates co-occurrence scores based on the passage retrieval results. ABSPs are syntactic patterns trained from question-answer pairs with a multiple alignment algorithm. They are used to capture the relations between terms and then use the relations to filter answers. We attribute the success of the ABSPs and SCO-QAT methods to the effective use of local syntactic information and global co-occurrence information. By using SCO-QAT and ABSPs, we improved the RU-Accuracy of our testbed QA system, ASQA, from 0.445 to 0.535 on the NTCIR-5 dataset. It also achieved the top 0.5 RU-Accuracy on the NTCIR-6 dataset. The result shows that lightweight methods are not only cheaper to implement, but also have the potential to achieve state-of-the-art performances.
Starting Page	1
Ending Page	29
Page Count	29
File Format	PDF
ISSN	15300226
e-ISSN	15583430
DOI	10.1145/1450295.1450297
Volume Number	7
Issue Number	4
Journal	ACM Transactions on Asian Language Information Processing (TALIP)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-11-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Chinese question answering Answer filtering Answer ranking Co-occurrence Lightweight method Surface pattern
Content Type	Text
Resource Type	Article
Subject	Computer Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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