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» Three Generative, Lexicalised Models for Statistical Parsing
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EACL
2003
ACL Anthology
13 years 6 months ago
Neural Network Probability Estimation for Broad Coverage Parsing
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
James Henderson
AAAI
2007
13 years 7 months ago
Ungreedy Methods for Chinese Deterministic Dependency Parsing
Deterministic dependency parsing has often been regarded as an efficient parsing algorithm while its parsing accuracy is a little lower than the best results reported by more comp...
Xiangyu Duan, Jun Zhao, Bo Xu
ICC
2009
IEEE
121views Communications» more  ICC 2009»
13 years 3 months ago
Three Layered Hidden Markov Models for Binary Digital Wireless Channels
Abstract--Generative models are created to be used in the design and performance assessment of high layer wireless communication protocols and some error control strategies. Genera...
Omar S. Salih, Cheng-Xiang Wang, David I. Laurenso...
ACL
1996
13 years 6 months ago
A Fully Statistical Approach to Natural Language Interfaces
We present a natural language interface system which is based entirely on trained statistical models. The system consists of three stages of processing: parsing, semantic interpre...
Scott Miller, David Stallard, Robert J. Bobrow, Ri...
EMNLP
2006
13 years 6 months ago
Statistical Ranking in Tactical Generation
In this paper we describe and evaluate several statistical models for the task of realization ranking, i.e. the problem of discriminating between competing surface realizations ge...
Erik Velldal, Stephan Oepen