Paper: SAIL-GRS: Grammar Induction for Spoken Dialogue Systems using CF-IRF Rule Similarity

ACL ID S14-2088
Title SAIL-GRS: Grammar Induction for Spoken Dialogue Systems using CF-IRF Rule Similarity
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

The SAIL-GRS system is based on a widely used approach originating from in- formation retrieval and document index- ing, the TF -IDF measure. In this im- plementation for spoken dialogue system grammar induction, rule constituent fre- quency and inverse rule frequency mea- sures are used for estimating lexical and semantic similarity of candidate grammar rules to a seed set of rule pattern instances. The performance of the system is evalu- ated for the English language in three dif- ferent domains, travel, tourism and finance and in the travel domain, for Greek. The simplicity of our approach makes it quite easy and fast to implement irrespective of language and domain. The results show that the SAIL-GRS system performs quite well in all three domains and in both lan- guages.