Identifying Speakers and Listeners of Quoted Speech in Literary Works
Research output: Conference Papers (RGC: 31A, 31B, 32, 33) › 32_Refereed conference paper (without host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
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| Pages | 325–329 |
| Publication status | Published - 27 Nov 2017 |
Conference
| Title | 8th International Joint Conference on Natural Language Processing (IJCNLP 2017) |
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| Location | Taipei Nangang Exhibition Hall |
| Place | Taiwan |
| City | Taipei |
| Period | 27 November - 1 December 2017 |
Link(s)
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(269754f8-525f-441b-9dda-f80a9c974c87).html |
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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.
Citation Format(s)
Identifying Speakers and Listeners of Quoted Speech in Literary Works. / Yeung, Chak Yan; Lee, John.
2017. 325–329 Paper presented at 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), Taipei, Taiwan.
2017. 325–329 Paper presented at 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), Taipei, Taiwan.
Research output: Conference Papers (RGC: 31A, 31B, 32, 33) › 32_Refereed conference paper (without host publication) › peer-review
