Paper Info
Title
Restoring an Elided Entry Word in a Sentence for Encyclopedia QA System
Abstract
This paper presents a hybrid model for restoring an elided entry word for en- cyclopedia QA system. In Korean en- cyclopedia, 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 re- sult shows that combined approach gives a 20% increase over our baseline.
Year
Venue
DocType
2005
IJCNLP (companion)
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Soojong Lim1362.80
Changki Lee227926.18
Myoung-Gil Jang300.34