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A Method for Measuring Sentence Similarity and its Application to Conversational Agents

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Li, Yuhua, Bandar, Zuhair, McLean, David and O’Shea, James (2004) A Method for Measuring Sentence Similarity and its Application to Conversational Agents. In: The 17th International FLAIRS Conference, Florida, USA. AAAI Press. 6 pp. [Conference contribution]

Full text not available from this repository.

URL: https://www.aaai.org/Papers/FLAIRS/2004/Flairs04-139.pdf

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 contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:21099
Deposited By:Dr Yuhua Li
Deposited On:21 Feb 2012 12:15
Last Modified:21 Feb 2012 12:15

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