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NAACL
2004
13 years 9 months ago
Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
Katherine Forbes-Riley, Diane J. Litman
EMNLP
2010
13 years 6 months ago
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
EMNLP
2009
13 years 6 months ago
Using the Web for Language Independent Spellchecking and Autocorrection
We have designed, implemented and evaluated an end-to-end system spellchecking and autocorrection system that does not require any manually annotated training data. The World Wide...
Casey Whitelaw, Ben Hutchinson, Grace Chung, Ged E...
INTERSPEECH
2010
13 years 3 months ago
Memory-based active learning for French broadcast news
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
Frédéric Tantini, Christophe Cerisar...
HICSS
2005
IEEE
154views Biometrics» more  HICSS 2005»
14 years 1 months ago
A Metadata Model for Electronic Images
Finding images over the internet can be trying at best. Many industries such as advertising, marketing, image consultants, print media, and medical imaging deal with electronic im...
Regina M. Mathis, Lucinda Caughey