教師資料查詢 | 類別: 期刊論文 | 教師: 戴敏育 Min-Yuh Day (瀏覽個人網頁)

標題:Boosting Chinese Question Answering with Two Lightweight Methods: ABSPs and SCO-QAT
學年97
學期1
出版(發表)日期2008/11/01
作品名稱Boosting Chinese Question Answering with Two Lightweight Methods: ABSPs and SCO-QAT
作品名稱(其他語言)
著者戴敏育; Day, Min-yuh; Lee, Cheng-wei; Sung, Cheng-lung; Lee, Yi-hsun; Jiang, Tian-jian; Wu, Chia-wei; Shih, Cheng-wei; Chen, Yu-ren; Hsu, Wen-lian
單位淡江大學資訊管理學系
出版者
著錄名稱、卷期、頁數ACM Transactions on Asian Language Information Processing 7(4)
摘要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.
關鍵字
語言英文(美國)
ISSN1530-0226;1558-3430
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
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