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
- Editors:
- Annemarie Friedrich, Deniz Zeyrek, Jet Hoek
- Venue:
- LAW
- SIG:
- SIGANN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 230–235
- Language:
- URL:
- https://aclanthology.org/W19-4027
- DOI:
- 10.18653/v1/W19-4027
- Cite (ACL):
- María Andrea Cruz Blandón, Gosse Minnema, Aria Nourbakhsh, Maria Boritchev, and Maxime Amblard. 2019. Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers. In Proceedings of the 13th Linguistic Annotation Workshop, pages 230–235, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers (Cruz Blandón et al., LAW 2019)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W19-4027.pdf
- Code
- andrea08/question_answer_annotation