@inproceedings{watanabe-etal-2016-modeling,
title = "Modeling Discourse Segments in Lyrics Using Repeated Patterns",
author = "Watanabe, Kento and
Matsubayashi, Yuichiroh and
Orita, Naho and
Okazaki, Naoaki and
Inui, Kentaro and
Fukayama, Satoru and
Nakano, Tomoyasu and
Smith, Jordan and
Goto, Masataka",
editor = "Matsumoto, Yuji and
Prasad, Rashmi",
booktitle = "Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: Technical Papers",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/C16-1184",
pages = "1959--1969",
abstract = "This study proposes a computational model of the discourse segments in lyrics to understand and to model the structure of lyrics. To test our hypothesis that discourse segmentations in lyrics strongly correlate with repeated patterns, we conduct the first large-scale corpus study on discourse segments in lyrics. Next, we propose the task to automatically identify segment boundaries in lyrics and train a logistic regression model for the task with the repeated pattern and textual features. The results of our empirical experiments illustrate the significance of capturing repeated patterns in predicting the boundaries of discourse segments in lyrics.",
}
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%0 Conference Proceedings
%T Modeling Discourse Segments in Lyrics Using Repeated Patterns
%A Watanabe, Kento
%A Matsubayashi, Yuichiroh
%A Orita, Naho
%A Okazaki, Naoaki
%A Inui, Kentaro
%A Fukayama, Satoru
%A Nakano, Tomoyasu
%A Smith, Jordan
%A Goto, Masataka
%Y Matsumoto, Yuji
%Y Prasad, Rashmi
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F watanabe-etal-2016-modeling
%X This study proposes a computational model of the discourse segments in lyrics to understand and to model the structure of lyrics. To test our hypothesis that discourse segmentations in lyrics strongly correlate with repeated patterns, we conduct the first large-scale corpus study on discourse segments in lyrics. Next, we propose the task to automatically identify segment boundaries in lyrics and train a logistic regression model for the task with the repeated pattern and textual features. The results of our empirical experiments illustrate the significance of capturing repeated patterns in predicting the boundaries of discourse segments in lyrics.
%U https://aclanthology.org/C16-1184
%P 1959-1969
Markdown (Informal)
[Modeling Discourse Segments in Lyrics Using Repeated Patterns](https://aclanthology.org/C16-1184) (Watanabe et al., COLING 2016)
ACL
- Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Jordan Smith, and Masataka Goto. 2016. Modeling Discourse Segments in Lyrics Using Repeated Patterns. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 1959–1969, Osaka, Japan. The COLING 2016 Organizing Committee.