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Browse Dept. of Computer Science by Author "Sammons, Mark"

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Robust, Light-weight Approaches to compute Lexical Similarity

Do, Quang; Roth, Dan; Sammons, Mark; Tu, Yuancheng; Vydiswaran, V.G.Vinod (2010-05-06)

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A Unified Representation and Inference Paradigm for Natural Language

Roth, Dan; Sammons, Mark (2008-06)

Traditional approaches to Natural Language Text Processing limit performance and flexibility by committing to canonical reprentations of input text, while many NLP applications for general tasks such as Textual Entailment ...

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