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» Applications of Finite-State Transducers in Natural Language...
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AAAI
1994
13 years 8 months ago
L* Parsing: A General Framework for Syntactic Analysis of Natural Language
We describe a new algorithm for table-driven parsing with context-free grammars designed to support efficient syntactic analysis of natural language. The algorithm provides a gene...
Eric K. Jones, Linton M. Miller
ESWS
2009
Springer
14 years 2 months ago
Controlled Natural Language for Semantic Annotation
Knowledge Acquisition through Semantic Annotation is vital to the evolution, growth and success of the Semantic Web. Both Semiautomatic and Manual Annotation are constricted by a ...
Brian Davis, Pradeep Varma, Siegfried Handschuh, L...
MICAI
2004
Springer
14 years 27 days ago
A Biologically Motivated and Computationally Efficient Natural Language Processor
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
João Luís Garcia Rosa
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 23 days 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
EMNLP
2009
13 years 5 months ago
Graphical Models over Multiple Strings
We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...
Markus Dreyer, Jason Eisner