Paper: Automatic Semantic Role Labeling

ACL ID N06-5006
Title Automatic Semantic Role Labeling
Venue Human Language Technologies
Session Tutorial Abstracts
Year 2006

away from syntactic structure and are important for deep NLP tasks such as question answer- ing, textual entailment, and complex information extraction. Semantic role labeling has recently received significant interest in the natural language processing community. In this tutorial, we will first describe the problem and history of semantic role labeling, and introduce existing corpora and other related tasks. Next, we will provide a detailed survey of state-of-the-art machine learning approaches to building a semantic role labeling system. Finally, we will conclude the tutorial by discussing directions for improving semantic role labeling systems and their application to other natural language problems. 6.1 Tutorial Outline 1.