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» Evolutionary algorithm for noun phrase detection in natural ...
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ACL
1998
13 years 7 months ago
Error-Driven Pruning of Treebank Grammars for Base Noun Phrase Identification
Finding simple, non-recursive, base noun phrases is an important subtask for many natural language processing applications. While previous empirical methods for base NP identifica...
Claire Cardie, David R. Pierce
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
13 years 11 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
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
13 years 11 months ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood
EMNLP
2010
13 years 3 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer
CSL
2002
Springer
13 years 5 months ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy