A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts

@inproceedings{Thelen2002ABM,
  title={A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts},
  author={Michael Thelen and Ellen Riloff},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2002}
}
This paper describes a bootstrapping algorithm called Basilisk that learns high-quality semantic lexicons for multiple categories. Basilisk begins with an unannotated corpus and seed words for each semantic category, which are then bootstrapped to learn new words for each category. Basilisk hypothesizes the semantic class of a word based on collective information over a large body of extraction pattern contexts. We evaluate Basilisk on six semantic categories. The semantic lexicons produced by… 

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