Title :
Question Similarity Calculation for FAQ Answering
Author :
Song, Wanpeng ; Feng, Min ; Gu, Naijie ; Wenyin, Liu
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei
Abstract :
Frequently asked question (FAQ) answering is a very useful module in automatic question answering (QA) systems where calculation of question similarity is a key problem. In this paper, we propose a new method for measuring the similarity between users´ questions and the questions in a FAQ database. Both statistic measure and semantic information are employed. Statistic similarity is calculated based on dynamically formed vectors while semantic similarity is calculated by utilizing word similarity based on WordNet. Overall similarity is a combination of statistic similarity and semantic similarity. Preliminary results show that our method achieves a good performance.
Keywords :
information retrieval; statistical analysis; text analysis; WordNet; automatic question answering system; frequently asked question answering; question similarity calculation; semantic similarity; statistic similarity; word similarity; Computer science; Correlation; Databases; Dictionaries; Information retrieval; Natural language processing; Search engines; Statistics; Tagging; Vectors;
Conference_Titel :
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location :
Shan Xi
Print_ISBN :
0-7695-3007-9
Electronic_ISBN :
978-0-7695-3007-9
DOI :
10.1109/SKG.2007.32
