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» Non-distributional Word Vector Representations
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EMNLP
2009
13 years 6 months ago
Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependen...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
MOR
2006
93views more  MOR 2006»
13 years 8 months ago
Optimization of Convex Risk Functions
We consider optimization problems involving convex risk functions. By employing techniques of convex analysis and optimization theory in vector spaces of measurable functions we d...
Andrzej Ruszczynski, Alexander Shapiro
COLING
2010
13 years 3 months ago
Topic Models for Meaning Similarity in Context
Recent work on distributional methods for similarity focuses on using the context in which a target word occurs to derive context-sensitive similarity computations. In this paper ...
Georgiana Dinu, Mirella Lapata
CORR
2004
Springer
117views Education» more  CORR 2004»
13 years 8 months ago
Efficient dot product over word-size finite fields
We want to achieve efficiency for the exact computation of the dot product of two vectors over word size finite fields. We therefore compare the practical behaviors of a wide range...
Jean-Guillaume Dumas
ICCSA
2004
Springer
14 years 1 months ago
Target Data Projection in Multivariate Visualization - An Application to Mine Planning
Visualization is a key issue for multivariate data analysis. Multivariate visualization is an active research topic and many efforts have been made in order to find suitable and ...
Leonardo Soto, Ricardo Sánchez, Jorge Amaya