Ensemble-based semantic lexicon induction for semantic tagging

  • Authors:
  • Ashequl Qadir;Ellen Riloff

  • Affiliations:
  • University of Utah School of Computing Salt Lake City, UT;University of Utah School of Computing Salt Lake City, UT

  • Venue:
  • SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present an ensemble-based framework for semantic lexicon induction that incorporates three diverse approaches for semantic class identification. Our architecture brings together previous bootstrapping methods for pattern-based semantic lexicon induction and contextual semantic tagging, and incorporates a novel approach for inducing semantic classes from coreference chains. The three methods are embedded in a bootstrapping architecture where they produce independent hypotheses, consensus words are added to the lexicon, and the process repeats. Our results show that the ensemble outperforms individual methods in terms of both lexicon quality and instance-based semantic tagging.