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» A Structured Vector Space Model for Word Meaning in Context
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ACL
2008
13 years 9 months ago
Using Adaptor Grammars to Identify Synergies in the Unsupervised Acquisition of Linguistic Structure
Adaptor grammars (Johnson et al., 2007b) are a non-parametric Bayesian extension of Probabilistic Context-Free Grammars (PCFGs) which in effect learn the probabilities of entire s...
Mark Johnson
BIS
2008
114views Business» more  BIS 2008»
13 years 9 months ago
Determining Relevant Deep Web Sites by Query Context Identification
Deep web search requires a transformation between search keywords and semantically described and well-formed data structures. We approached this problem in our "In the Web of ...
Zsolt Tivadar Kardkovács, Domonkos Tikk
IJCAI
2007
13 years 9 months ago
Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis
Computing semantic relatedness of natural language texts requires access to vast amounts of common-sense and domain-specific world knowledge. We propose Explicit Semantic Analysi...
Evgeniy Gabrilovich, Shaul Markovitch
KES
2007
Springer
14 years 1 months ago
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
Nicola Fanizzi, Claudia d'Amato
EJC
2009
13 years 5 months ago
From Word Form Surfaces to Communication
The starting point of this paper is the external surface of a word form, for example the agent-external acoustic perturbations constituting a language sign in speech or the dots o...
Roland Hausser