Published:
May 2004
Proceedings:
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004)
Volume
Issue:
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004)
Track:
All Papers
Downloads:
Abstract:
This paper presents a novel algorithm for computing similarity between very short texts ofsentence 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 corpusstatistics. 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 algorithmis 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.
![](https://aaai.org/wp-content/uploads/2023/06/flairs04.jpg)
FLAIRS
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004)
ISBN 978-1-57735-201-3
Published by The AAAI Press, Menlo Park, California.