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» Generalizing Data in Natural Language
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CSIE
2009
IEEE
15 years 11 months ago
Building a General Purpose Cross-Domain Sentiment Mining Model
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
Matthew Whitehead, Larry Yaeger
ICMI
2009
Springer
105views Biometrics» more  ICMI 2009»
15 years 11 months ago
Grounding spatial prepositions for video search
Spatial language video retrieval is an important real-world problem that forms a test bed for evaluating semantic structures for natural language descriptions of motion on natural...
Stefanie Tellex, Deb Roy
COGSCI
2010
87views more  COGSCI 2010»
15 years 3 months ago
The Logical Problem of Language Acquisition: A Probabilistic Perspective
Natural language is full of patterns that appear to fit with general linguistic rules but are ungrammatical. There has been much debate over how children acquire these ‘‘ling...
Anne S. Hsu, Nick Chater
ASSETS
2008
ACM
15 years 6 months ago
Adapting word prediction to subject matter without topic-labeled data
Word prediction helps to increase communication rate when using Augmentative and Alternative Communication devices. Basic prediction systems offer topically inappropriate predicti...
Keith Trnka