Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers

María Andrea Cruz Blandón, Gosse Minnema, Aria Nourbakhsh, Maria Boritchev, Maxime Amblard


Abstract
The present study proposes an annotation scheme for classifying the content and discourse contribution of question-answer pairs. We propose detailed guidelines for using the scheme and apply them to dialogues in English, Spanish, and Dutch. Finally, we report on initial machine learning experiments for automatic annotation.
Anthology ID:
W19-4027
Volume:
Proceedings of the 13th Linguistic Annotation Workshop
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | LAW | WS
SIG:
SIGANN
Publisher:
Association for Computational Linguistics
Note:
Pages:
230–235
Language:
URL:
https://www.aclweb.org/anthology/W19-4027
DOI:
10.18653/v1/W19-4027
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-4027.pdf