26 citations · 43 across the 3 of their papers we have counts for
5 papers
Machine Learning with Lexical Features: The Duluth Approach to Senseval-2
Ted Pedersen
This paper describes the sixteen Duluth entries in the Senseval-2 comparative exercise among word sense disambiguation systems. There were eight pairs of Duluth systems entered in…
Assessing System Agreement and Instance Difficulty in the Lexical Sample Tasks of Senseval-2
Ted Pedersen
This paper presents a comparative evaluation among the systems that participated in the Spanish and English lexical sample tasks of Senseval-2. The focus is on pairwise comparisons…
Evaluating the Effectiveness of Ensembles of Decision Trees in Disambiguating Senseval Lexical Samples
Ted Pedersen
This paper presents an evaluation of an ensemble--based system that participated in the English and Spanish lexical sample tasks of Senseval-2. The system combines decision trees o…
A Decision Tree of Bigrams is an Accurate Predictor of Word Sense
Ted Pedersen
This paper presents a corpus-based approach to word sense disambiguation where a decision tree assigns a sense to an ambiguous word based on the bigrams that occur nearby. This app…
A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation
Ted Pedersen
This paper presents a corpus-based approach to word sense disambiguation that builds an ensemble of Naive Bayesian classifiers, each of which is based on lexical features that repr…