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A method for measuring sentence similarity and its application to conversational agents

Li, Y, Bandar, Z, McLean, D and O'Shea, J 2004, A method for measuring sentence similarity and its application to conversational agents , in: The 17th International Florida Artificial Intelligence Research Society (FLAIRS) Conference, 17-19 May 2004, Florida, USA.

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Abstract

This paper presents a novel algorithm for computing similarity between very short texts of sentence length. It will introduce a method that takes account of not only semantic information but also word order information implied in the sentences. Firstly, semantic similarity between two sentences is derived from information from a structured lexical database and from corpus statistics. Secondly, word order similarity is computed from the position of word appearance in the sentence. Finally, sentence similarity is computed as a combination of semantic similarity and word order similarity. The proposed algorithm is applied to a real world domain of conversational agents. Experimental results demonstrated that the proposed algorithm reduces the scripter's effort to devise rule base for conversational agent.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference
Publisher: American Association for Artificial Intelligence (AAAI) Press
Refereed: Yes
Related URLs:
Funders: Non funded research
Depositing User: Yuhua Li
Date Deposited: 27 Jul 2015 11:00
Last Modified: 05 Apr 2016 18:18
URI: http://usir.salford.ac.uk/id/eprint/33135

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