The Duluth lexical sample systems in Senseval-3

Two systems from the University of Minnesota, Duluth participated in various SENSEVAL-3 lexical sample tasks. The supervised learning system is based on lexical features and bagged decision trees. It participated in lexical sample tasks for the English, Spanish, Catalan, Basque, Romanian and MultiLingual English-Hindi data. The unsupervised system uses measures of semantic relatedness to find the sense of the target word that is most related to the senses of its neighbors. It participated in the English lexical sample task.

[1]  Ted Pedersen,et al.  Using Measures of Semantic Relatedness for Word Sense Disambiguation , 2003, CICLing.

[2]  Ted Pedersen,et al.  A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation , 2000, ANLP.

[3]  Ted Pedersen,et al.  A Decision Tree of Bigrams is an Accurate Predictor of Word Sense , 2001, NAACL.

[4]  Ted Pedersen,et al.  Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation , 2004, CoNLL.

[5]  Raymond J. Mooney,et al.  Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning , 1996, EMNLP.

[6]  Ted Pedersen,et al.  Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3 , 2004, SENSEVAL@ACL.

[7]  Ted Pedersen Machine Learning with Lexical Features: The Duluth Approach to SENSEVAL-2 , 2001, SENSEVAL@ACL.

[8]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[9]  Ted Pedersen,et al.  Extended Gloss Overlaps as a Measure of Semantic Relatedness , 2003, IJCAI.

[10]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.

[11]  L. Breiman Heuristics of instability and stabilization in model selection , 1996 .

[12]  Ted Pedersen,et al.  A New Supervised Learning Algorithm for Word Sense Disambiguation , 1997, AAAI/IAAI.

[13]  Ezra Black,et al.  An Experiment in Computational Discrimination of English Word Senses , 1988, IBM J. Res. Dev..

[14]  Satanjeev Banerjee,et al.  The Design, Implementation, and Use of the Ngram Statistics Package , 2003, CICLing.