Difference between revisions of "Settles, CALC 2010"
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This tool makes use of a template-based approach to synthesis titles. As opposed to using hand-crafted templates, Titular learns using the following: | This tool makes use of a template-based approach to synthesis titles. As opposed to using hand-crafted templates, Titular learns using the following: | ||
| − | * | + | * Titles in training corpus are tokenized and POS tagged |
| + | * Open word classes are substitued with their POS tag, and close words remain in tact | ||
| + | * Thresholds are set to on templates to remove junk/infrequent templates | ||
Revision as of 01:15, 31 March 2011
Citation
Computational Creativity Tools for Songwriters. Burr Settles. In Proceedings of the NAACL HLT 2010 Second Workshop on Computational Approaches to Linguistic Creativity, 2010.
Online version
Summary
This paper describes two natural language processing based computational creativity tools to assist songwriters, originally deployed to aid songwriters participating in FAWM, a social challenge website devoted to writing songs in short period of time. The two tools described are Titular, a text synthesis algorithm for generating new song titles, and LyriCloud, which is a word-level explorer that allow users interactively select words and receive suggestions for lyrical words.
Titular Available here: [1]
This tool makes use of a template-based approach to synthesis titles. As opposed to using hand-crafted templates, Titular learns using the following:
- Titles in training corpus are tokenized and POS tagged
- Open word classes are substitued with their POS tag, and close words remain in tact
- Thresholds are set to on templates to remove junk/infrequent templates
LyriCloud
Available here: [2]
