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NLP
2000
15 years 5 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...
ANLP
2000
115views more  ANLP 2000»
15 years 3 months ago
Categorizing Unknown Words: Using Decision Trees to Identify Names and Misspellings
This paper introduces a system for categorizing unknown words. The system is based on a multicomponent architecture where each component is responsible for identifying one class o...
Janine Toole
CSL
2006
Springer
15 years 1 months ago
Automata and Logics for Words and Trees over an Infinite Alphabet
In a data word or a data tree each position carries a label from a finite alphabet and a data value from some infinite domain. These models have been considered in the realm of sem...
Luc Segoufin
INTERSPEECH
2010
14 years 8 months ago
Decision tree state clustering with word and syllable features
In large vocabulary continuous speech recognition, decision trees are widely used to cluster triphone states. In addition to commonly used phonetically based questions, others hav...
Hank Liao, Christopher Alberti, Michiel Bacchiani,...
RTA
2010
Springer
15 years 5 months ago
Automata for Data Words and Data Trees
Data words and data trees appear in verification and XML processing. The term “data” means that positions of the word, or tree, are decorated with elements of an infinite set...
Mikolaj Bojanczyk