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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.