A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling (2006)
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.
In Proceedings of the Twenty-First National Conference on Artificial Intelligence 2006.

Ken Barker Formerly affiliated Research Scientist kbarker [at] cs utexas edu
Bruce Porter Faculty porter [at] cs utexas edu
Peter Zei-Chan Yeh Ph.D. Alumni pzyeh [at] cs utexas edu