Modeling Discourse Segments in Lyrics Using Repeated Patterns
Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Jordan Smith, Masataka Goto
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.- Anthology ID:
- C16-1184
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Yuji Matsumoto, Rashmi Prasad
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 1959–1969
- Language:
- URL:
- https://aclanthology.org/C16-1184
- DOI:
- Cite (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.
- Cite (Informal):
- Modeling Discourse Segments in Lyrics Using Repeated Patterns (Watanabe et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/ml4al-ingestion/C16-1184.pdf
- Data
- RWC