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.
| Original language | English |
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| Title of host publication | 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings |
| Editors | Preslav Nakov, Torsten Zesch |
| Publisher | Association for Computational Linguistics |
| Pages | 508-511 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781941643242 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 8th International Workshop on Semantic Evaluation, SemEval 2014 - Dublin, Ireland Duration: 23 Aug 2014 → 24 Aug 2014 |
Publication series
| Name | 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings |
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Conference
| Conference | 8th International Workshop on Semantic Evaluation, SemEval 2014 |
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| Country/Territory | Ireland |
| City | Dublin |
| Period | 23/08/14 → 24/08/14 |
Bibliographical note
Publisher Copyright:© 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings. All rights reserved.