A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling

Abstract

In this paper, we present a unified knowledge based approach for sense disambiguation and semantic role labeling. Our approach performs both tasks through a single algorithm that matches candidate semantic interpretations to background knowledge to select the best matching candidate. We evaluate our approach on a corpus of sentences collected from various domains and show how our approach performs well on both sense disambiguation and semantic role labeling.

Cite

Text

Yeh et al. "A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling." AAAI Conference on Artificial Intelligence, 2006.

Markdown

[Yeh et al. "A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/yeh2006aaai-unified/)

BibTeX

@inproceedings{yeh2006aaai-unified,
  title     = {{A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling}},
  author    = {Yeh, Peter Z. and Porter, Bruce W. and Barker, Ken},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2006},
  pages     = {305-311},
  url       = {https://mlanthology.org/aaai/2006/yeh2006aaai-unified/}
}