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» Generating Lexical Analogies Using Dependency Relations
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FLAIRS
2006
13 years 7 months ago
Constrained Lexical Attraction Models
Lexical Attraction Models (LAMs) were first introduced by Deniz Yuret in (Yuret 1998) to exemplify how an algorithm can learn word dependencies from raw text. His general thesis i...
Radu Ion, Verginica Barbu Mititelu
DAC
2003
ACM
14 years 7 months ago
A TBR-based trajectory piecewise-linear algorithm for generating accurate low-order models for nonlinear analog circuits and MEM
In this paper we propose a method for generating reduced models for a class of nonlinear dynamical systems, based on truncated balanced realization (TBR) algorithm and a recently ...
Dmitry Vasilyev, Michal Rewienski, Jacob White
ACL
2009
13 years 4 months ago
Sentence diagram generation using dependency parsing
Dependency parsers show syntactic relations between words using a directed graph, but comparing dependency parsers is difficult because of differences in theoretical models. We de...
Elijah Mayfield
CLIN
2001
13 years 7 months ago
The Alpino Dependency Treebank
In this paper we present the Alpino Dependency Treebank and the tools that we have developed to facilitate the annotation process. Annotation typically starts with parsing a sente...
Leonoor van der Beek, Gosse Bouma, Rob Malouf, Ger...
DATE
2003
IEEE
114views Hardware» more  DATE 2003»
13 years 11 months ago
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
Simona Doboli, Gaurav Gothoskar, Alex Doboli