“Techniques for scalable phrase-based natural language understanding”, unpublished paper from an independent study I did at Northwestern on the Learning by Reading project.

“Hummer Specific Learning to Enhance Query-by-Humming”, unpublished final report from another Northwestern study with David Little and Bryan Pardo. Below are published papers related to the project, from Northwestern's Interactive Audio Lab publications list.

AuthorsTitlePublished-inVolume-dateType
D. Little, D. Raffensperger, B. Pardo User-Specific Training of a Music Search Engine MLMI Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, Brno, Czech Republic June 28-30, 2007 Posters
D. Little, D. Raffensperger, and B. Pardo User specific training of a music search engine Lecture Notes in Computer Science Spring 2007 Book Chapters
D. Little, D. Raffensperger, B. Pardo A Query by Humming System that Learns from Experience Proceedings of the 8th International Conference on Music Information Retrieval, Vienna, Austria September 23-27, 2007 Refereed Conference Proceedings