Abstract
We present the first study that evaluates both speaker and listener identification for direct speech in literary texts. Our approach consists of two steps: identification of speakers and listeners near the quotes, and dialogue chain segmentation. Evaluation results show that this approach outperforms a rule-based approach that is state-of-the-art on a corpus of literary texts.- Anthology ID:
- I17-2055
- Volume:
- Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Month:
- November
- Year:
- 2017
- Address:
- Taipei, Taiwan
- Venue:
- IJCNLP
- SIG:
- Publisher:
- Asian Federation of Natural Language Processing
- Note:
- Pages:
- 325–329
- Language:
- URL:
- https://aclanthology.org/I17-2055
- DOI:
- Cite (ACL):
- Chak Yan Yeung and John Lee. 2017. Identifying Speakers and Listeners of Quoted Speech in Literary Works. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 325–329, Taipei, Taiwan. Asian Federation of Natural Language Processing.
- Cite (Informal):
- Identifying Speakers and Listeners of Quoted Speech in Literary Works (Yeung & Lee, IJCNLP 2017)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/I17-2055.pdf