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» Using Types to Parse Natural Language
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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
13 years 12 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
ACL
2007
13 years 8 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
IFL
2007
Springer
141views Formal Methods» more  IFL 2007»
14 years 26 days ago
Partial Parsing: Combining Choice with Commitment
Abstract. Parser combinators, often monadic, are a venerable and widelyused solution to read data from some external format. However, the capability to return a partial parse has, ...
Malcolm Wallace
NLPRS
2001
Springer
13 years 11 months ago
Statistical Parsing of Dutch using Maximum Entropy Models with Feature Merging
In this project report we describe work in statistical parsing using the maximum entropy technique and the Alpino language analysis system for Dutch. A major difficulty in this d...
Tony Mullen, Rob Malouf, Gertjan van Noord
NLPRS
2001
Springer
13 years 11 months ago
Use of a Lexical Feature Database for Partial Parsing of Chinese
The Grammatical Knowledge base of Contemporary Chinese contains detailed feature descriptions of the morphological and syntactic behavior of a more than fifty thousand Chinese wor...
Elliott Franco Drábek, Qiang Zhou