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Semantic Role Labeling by Tagging Syntactic Chunks

In this paper, we present a semantic role labeler (or chunker) that groups syntactic chunks (i.e. base phrases) into the arguments of a predicate. This is accomplished by casting the semantic labeling as the classification of syntactic chunks (e.g. NP-chunk, PP-chunk) into one of several classes such as the beginning of an argument (B-ARG), inside an argument (I-ARG) and outside an argument (O). This amounts to tagging syntactic chunks with semantic labels using the IOB representation. The chunker is realized using support vector machines as oneversus-all classifiers. We describe the representation of data and information used to accomplish the task. We participate in the "closed challenge" of the CoNLL-2004 shared task and report results on both development and test sets.


Kadri Hacioglu, Sameer Pradhan, Wayne Ward, James H. Martin and Daniel Jurafsky, Semantic Role Labeling by Tagging Syntactic Chunks. In: Proceedings of CoNLL-2004, Boston, MA, USA, 2004, pp. 110-113. [ps] [ps.gz] [pdf] [bibtex]
Last update: May 13, 2003. erikt@uia.ua.ac.be