Paper Info
Title
Research on Answer Extraction Method for Domain Question Answering System(QA)
Abstract
The domain knowledge has a direct impact on the result of question - answering (Q & A) in the restricted domain Question Answering System (QA). In this paper, a method of answer extraction for domain Chinese question-and-answer (Q&A) is proposed, which based on the analysis of interrogative sentence and the answer type, carrying on the text retrieval with the help of the domain knowledge and obtaining the relevant paragraphs of the question as the candidate answer. For the question of numeral or list entity type, extracted the question center related domain entity as the answers by adopting the naming entity recognition. For the definition questions, the sentences or paragraphs with higher relevance can be extracted to become the answer based on the relevance ranking between the candidate sentences or paragraphs and questions by combined the computing method of keywords weighting and the method of semantic similarity between the sentences and questions. Experimented on the answer extraction in Yunnan tourism domain, the results show that more remarkable effects have been achieved by adopting the method of answer extraction from domain Chinese question-and-answer.
Year
DOI
Venue
2009
10.1109/CIS.2009.173
CIS (1)
Keywords
Field
DocType
databases,terminology,correlation,question answering,search engines,question types,probability density function,semantic similarity,question answering system,ontologies,data mining,information retrieval,domain knowledge
Ontology (information science),Semantic similarity,Question answering,Domain knowledge,Information retrieval,Ranking,Terminology,Computer science,Artificial intelligence,Natural language processing,Numeral system,Interrogative
Conference
Volume
Issue
Citations 
1
null
0
PageRank 
References 
Authors
0.34
3
6
Name
Order
Citations
PageRank
Cunli Mao15111.54
Lina Li2110.95
Zhengtao Yu346069.08
Lu Han42912.86
Jianyi Guo52010.99
Xiong-Li Lei600.34