Paper: Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems

ACL ID D13-1076
Title Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

This paper explores to what extent lemmati- sation, lexical resources, distributional seman- tics and paraphrases can increase the accuracy of supervised models for dialogue manage- ment. The results suggest that each of these factors can help improve performance but that the impact will vary depending on their com- bination and on the evaluation mode.