Refining the most frequent sense baseline

Authors:
Judita Preiss;Jon Dehdari;Josh King;Dennis Mehay
Affiliations:
The Ohio State University;The Ohio State University;The Ohio State University;The Ohio State University
Venue:
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Year:
2009

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Abstract

We refine the most frequent sense baseline for word sense disambiguation using a number of novel word sense disambiguation techniques. Evaluating on the Senseval-3 English all words task, our combined system focuses on improving every stage of word sense disambiguation: starting with the lemmatization and part of speech tags used, through the accuracy of the most frequent sense baseline, to highly targeted individual systems. Our supervised systems include a ranking algorithm and a Wikipedia similarity measure.