Identifying Speakers and Listeners of Quoted Speech in Literary Works

Chak Yan Yeung; John Lee

Identifying Speakers and Listeners of Quoted Speech in Literary Works

Department of Linguistics and Translation

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

10 Citations (Scopus)

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. © 2017 AFNLP.

Original language	English
Title of host publication	Proceedings of the Eighth International Joint Conference on Natural Language Processing
Editors	Greg Kondrak, Taro Watanabe
Publisher	Association for Computational Linguistics
Pages	325-329
Volume	2 (Short Papers)
ISBN (Print)	9781510852938
Publication status	Published - Nov 2017
Event	8th International Joint Conference on Natural Language Processing (IJCNLP 2017) - Taipei Nangang Exhibition Hall, Taipei, Taiwan, China Duration: 27 Nov 2017 → 1 Dec 2017 https://aclanthology.org/events/ijcnlp-2017/# https://aclanthology.org/events/ijcnlp-2017/#i17-3

Publication series

Name	International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP, System Demonstrations

Conference

Conference	8th International Joint Conference on Natural Language Processing (IJCNLP 2017)
Abbreviated title	IJCNLP 2017
Place	Taiwan, China
City	Taipei
Period	27/11/17 → 1/12/17
Internet address	https://aclanthology.org/events/ijcnlp-2017/# https://aclanthology.org/events/ijcnlp-2017/#i17-3

Funding

The authors gratefully acknowledge support from the CityU Internal Funds for ITF Projects (no. 9678104).

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Yeung, C. Y., & Lee, J. (2017). Identifying Speakers and Listeners of Quoted Speech in Literary Works. In G. Kondrak, & T. Watanabe (Eds.), Proceedings of the Eighth International Joint Conference on Natural Language Processing (Vol. 2 (Short Papers), pp. 325-329). (International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP, System Demonstrations). Association for Computational Linguistics. https://aclanthology.org/I17-2055/

Yeung, Chak Yan ; Lee, John. / Identifying Speakers and Listeners of Quoted Speech in Literary Works. Proceedings of the Eighth International Joint Conference on Natural Language Processing. editor / Greg Kondrak ; Taro Watanabe. Vol. 2 (Short Papers) Association for Computational Linguistics, 2017. pp. 325-329 (International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP, System Demonstrations).

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title = "Identifying Speakers and Listeners of Quoted Speech in Literary Works",

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. {\textcopyright} 2017 AFNLP.",

author = "Yeung, {Chak Yan} and John Lee",

year = "2017",

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language = "English",

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volume = "2 (Short Papers)",

series = "International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP, System Demonstrations",

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pages = "325--329",

editor = "Kondrak, {Greg } and Watanabe, {Taro }",

booktitle = "Proceedings of the Eighth International Joint Conference on Natural Language Processing",

address = "United States",

note = "8th International Joint Conference on Natural Language Processing (IJCNLP 2017), IJCNLP 2017 ; Conference date: 27-11-2017 Through 01-12-2017",

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Yeung, CY & Lee, J 2017, Identifying Speakers and Listeners of Quoted Speech in Literary Works. in G Kondrak & T Watanabe (eds), Proceedings of the Eighth International Joint Conference on Natural Language Processing. vol. 2 (Short Papers), International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP, System Demonstrations, Association for Computational Linguistics, pp. 325-329, 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), Taipei, Taiwan, China, 27/11/17. <https://aclanthology.org/I17-2055/>

Identifying Speakers and Listeners of Quoted Speech in Literary Works. / Yeung, Chak Yan ; Lee, John.
Proceedings of the Eighth International Joint Conference on Natural Language Processing. ed. / Greg Kondrak; Taro Watanabe. Vol. 2 (Short Papers) Association for Computational Linguistics, 2017. p. 325-329 (International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP, System Demonstrations).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AB - 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. © 2017 AFNLP.

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SN - 9781510852938

VL - 2 (Short Papers)

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EP - 329

BT - Proceedings of the Eighth International Joint Conference on Natural Language Processing

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Yeung CY , Lee J. Identifying Speakers and Listeners of Quoted Speech in Literary Works. In Kondrak G, Watanabe T, editors, Proceedings of the Eighth International Joint Conference on Natural Language Processing. Vol. 2 (Short Papers). Association for Computational Linguistics. 2017. p. 325-329. (International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP, System Demonstrations).

Identifying Speakers and Listeners of Quoted Speech in Literary Works

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