Paper: Generating Fine-Grained Reviews of Songs from Album Reviews

ACL ID P10-1140
Title Generating Fine-Grained Reviews of Songs from Album Reviews
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

Music Recommendation Systems often recommend individual songs, as opposed to entire albums. The challenge is to gen- erate reviews for each song, since only full album reviews are available on-line. We developed a summarizer that combines in- formation extraction and generation tech- niquestoproducesummariesofreviewsof individual songs. We present an intrinsic evaluation of the extraction components, and of the informativeness of the sum- maries; and a user study of the impact of the song review summaries on users’ de- cision making processes. Users were able to make quicker and more informed deci- sions when presented with the summary as compared to the full album review.