The TRAINS 93 Dialogues
The Monroe Corpus
A corpus-based approach to help-desk response generation
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
Virtual Patients for Clinical Therapist Skills Training
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Semi-formal Evaluation of Conversational Characters
Languages: From Formal to Natural
An evaluation understudy for dialogue coherence models
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Building effective question answering characters
SigDIAL '06 Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue
The Meteor metric for automatic evaluation of machine translation
Machine Translation
SWITCHBOARD: telephone speech corpus for research and development
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Toward learning and evaluation of dialogue policies with text examples
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Hi-index | 0.00 |
We perform a study of existing dialogue corpora to establish the theoretical maximum performance of the selection approach to simulating human dialogue behavior in unseen dialogues. This maximum is the proportion of test utterances for which an exact or approximate match exists in the corresponding training corpus. The results indicate that some domains seem quite suitable for a corpus-based selection approach, with over half of the test utterances having been seen before in the corpus, while other domains show much more novelty compared to previous dialogues.