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» Multi-Prototype Vector-Space Models of Word Meaning
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ENTCS
2011
130views more  ENTCS 2011»
12 years 11 months ago
Bell States and Negative Sentences in the Distributed Model of Meaning
We use Bell states to provide compositional distributed meaning for negative sentences of English. The lexical meaning of each word of the sentence is a context vector obtained wi...
Anne Preller, Mehrnoosh Sadrzadeh
NLDB
2007
Springer
13 years 11 months ago
Four Methods for Supervised Word Sense Disambiguation
Word sense disambiguation is the task to identify the intended meaning of an ambiguous word in a certain context, one of the central problems in natural language processing. This p...
Kinga Schumacher
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 4 months ago
Mathematical Foundations for a Compositional Distributional Model of Meaning
We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, fo...
Bob Coecke, Mehrnoosh Sadrzadeh, Stephen Clark
FQAS
2009
Springer
129views Database» more  FQAS 2009»
13 years 11 months ago
Representing Context Information for Document Retrieval
The bag of words representation (BoW), which is widely used in information retrieval (IR), represents documents and queries as word lists that do not express anything about context...
Maya Carrillo, Esaú Villatoro-Tello, Aureli...
WWW
2006
ACM
14 years 5 months ago
Constructing virtual documents for ontology matching
On the investigation of linguistic techniques used in ontology matching, we propose a new idea of virtual documents to pursue a cost-effective approach to linguistic matching in t...
Yuzhong Qu, Wei Hu, Gong Cheng