Semantic Key for Meaning Based Searching

To enable meaning based search, computers have to store and compare meaning of user’s search intentions and objects being searched. To address the key requirement of meaning compositionality, we present: design rationale; an algebraic theory; and a technique to represent composite meaning as a tensor which is amenable to efficient similarity computation.

[1]  Maria Mercedes Piñango.  Understanding the architecture of language: the possible role of neurology , 2006, Trends in Cognitive Sciences.

[2]  R. Berndt,et al.  Semantic and syntactic processes in aphasia: a review of the literature. , 1978, Psychological bulletin.

[3]  Z. Ye,et al.  Involvement of cognitive control in sentence comprehension: Evidence from ERPs , 2008, Brain Research.

[4]  D. Bickerton.  Language and Species , 1990 .

[5]  Amitava Biswas,et al.  Representation of Complex Concepts for Semantic Routed Network , 2009, ICDCN.

[6]  Mirella Lapata,et al.  Vector-based Models of Semantic Composition , 2008, ACL.

[7]  Gregory L. Murphy,et al.  Comprehending Complex Concepts , 1988, Cogn. Sci..

[8]  Gina R. Kuperberg,et al.  Neural mechanisms of language comprehension: Challenges to syntax , 2007, Brain Research.

[9]  Peter W. Culicover,et al.  Why Simpler Syntax , 2005 .

[10]  Peter W. Culicover,et al.  The simpler syntax hypothesis , 2006, Trends in Cognitive Sciences.

[11]  Dominic Widdows,et al.  Semantic Vector Products: Some Initial Investigations , 2008 .

[12]  Ina Bornkessel-Schlesewsky,et al.  Semantic composition engenders an N400: evidence from Chinese compounds , 2008, Neuroreport.

[13]  D Y von Cramon,et al.  Segregating semantic and syntactic aspects of processing in the human brain: an fMRI investigation of different word types. , 2000, Cerebral cortex.

[14]  Ray Jackendoff,et al.  Compounding in the Parallel Architecture and Conceptual Semantics , 2011 .

[15]  P. Hagoort.  On Broca, brain, and binding: a new framework , 2005, Trends in Cognitive Sciences.