Abstract

The SAIL-GRS system is based on a widely used approach originating from information retrieval and document indexing, the TF-IDF measure. In this implementation for spoken dialogue system grammar induction, rule constituent frequency and inverse rule frequency measures 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 evaluated for the English language in three different 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 languages.

Date

October 12, 2025

Authors

Kalliopi Zervanou, Nikolaos Malandrakis, Shrikanth Narayanan

Book

Proceedings of the 8th International Workshop on Semantic Evaluation, SemEval@ COLING 2014, Dublin, Ireland, August 23-24, 2014.

Pages

508-511

Publisher

Association for Computational Linguistics (ACL)