Paper: Combining Speech Retrieval Results with Generalized Additive Models

ACL ID P08-1053
Title Combining Speech Retrieval Results with Generalized Additive Models
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2008
Authors

Rapid and inexpensive techniques for auto- matic transcription of speech have the po- tential to dramatically expand the types of content to which information retrieval tech- niques can be productively applied, but lim- itations in accuracy and robustness must be overcome before that promise can be fully realized. Combining retrieval results from systems built on various errorful representa- tions of the same collection offers some po- tential to address these challenges. This pa- per explores that potential by applying Gener- alized Additive Models to optimize the combi- nation of ranked retrieval results obtained us- ing transcripts produced automatically for the same spoken content by substantially differ- ent recognition systems. Topic-averaged re- trieval effectiveness better than any...