Identifying Speakers and Listeners of Quoted Speech in Literary Works

Chak Yan Yeung, John Lee


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
Editors:
Greg Kondrak, Taro Watanabe
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
325–329
Language:
URL:
https://aclanthology.org/I17-2055
DOI:
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/I17-2055.pdf