Semantic Dependency Parsing using N-best Semantic Role Sequences and Roleset Information
نویسندگان
چکیده
In this paper, we describe a syntactic and semantic dependency parsing system submitted to the shared task of CoNLL 2008. The proposed system consists of five modules: syntactic dependency parser, predicate identifier, local semantic role labeler, global role sequence candidate generator, and role sequence selector. The syntactic dependency parser is based on Malt Parser and the sequence candidate generator is based on CKY style algorithm. The remaining three modules are implemented by using maximum entropy classifiers. The proposed system achieves 76.90 of labeled F1 for the overall task, 84.82 of labeled attachment, and 68.71 of labeled F1 on the WSJ+Brown test set.
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