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ACL
2008
13 years 6 months ago
Vector-based Models of Semantic Composition
This paper proposes a framework for representing the meaning of phrases and sentences in vector space. Central to our approach is vector composition which we operationalize in ter...
Jeff Mitchell, Mirella Lapata
ICVGIP
2004
13 years 6 months ago
Modeling Signs Using Functional Data Analysis
1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta
EMNLP
2010
13 years 2 months ago
Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space
We propose an approach to adjective-noun composition (AN) for corpus-based distributional semantics that, building on insights from theoretical linguistics, represents nouns as ve...
Marco Baroni, Roberto Zamparelli
ACL
2009
13 years 2 months ago
Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation
Recent advances in functional Magnetic Resonance Imaging (fMRI) offer a significant new approach to studying semantic representations in humans by making it possible to directly o...
Kai-min K. Chang, Vladimir Cherkassky, Tom M. Mitc...