Restoring an Elided Entry Word in a Sentence for Encyclopedia QA System
نویسندگان
چکیده
This paper presents a hybrid model for restoring an elided entry word for encyclopedia QA system. In Korean encyclopedia, an entry word is frequently omitted in a sentence. If the QA system uses a sentence without an entry word, it cannot provide a right answer. For resolving this problem, we combine a rule-based approach with Maximum Entropy model to use the merit of each approach. A rule-based approach uses caseframes and sense classes. The result shows that combined approach gives a 20% increase over our baseline.
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تاریخ انتشار 2005