TAILIEUCHUNG - Báo cáo khoa học: "Semantic Role Labeling for Coreference Resolution"

The last years have seen a boost of work devoted to the development of machine learning based coreference resolution systems (Soon et al., 2001; Ng & Cardie, 2002; Kehler et al., 2004, inter alia). Similarly, many researchers have explored techniques for robust, broad coverage semantic parsing in terms of semantic role labeling (Gildea & Jurafsky, 2002; Carreras & M` rquez, 2005, SRL a henceforth). This paper explores whether coreference resolution can benefit from SRL, more specifically, which phenomena are affected by such information. . | Semantic Role Labeling for Coreference Resolution Simone Paolo Ponzetto and Michael Strube EML Research gGmbH Schloss-Wolfsbrunnenweg 33 69118 Heidelberg Germany http nlp Abstract Extending a machine learning based coreference resolution system with a feature capturing automatically generated information about semantic roles improves its performance. 1 Introduction The last years have seen a boost of work devoted to the development of machine learning based coreference resolution systems Soon et al. 2001 Ng Cardie 2002 Kehler et al. 2004 inter alia . Similarly many researchers have explored techniques for robust broad coverage semantic parsing in terms of semantic role labeling Gildea Jurafsky 2002 Carreras Marquez 2005 SRL henceforth . This paper explores whether coreference resolution can benefit from SRL more specifically which phenomena are affected by such information. The motivation comes from the fact that current coreference resolution systems are mostly relying on rather shallow features such as the distance between the coreferent expressions string matching and linguistic form. On the other hand the literature emphasizes since the very beginning the relevance of world knowledge and inference Charniak 1973 . As an example consider a sentence from the Automatic Content Extraction ACE 2003 data. 1 A state commission of inquiry into the sinking of the Kursk will convene in Moscow on Wednesday the Interfax news agency reported. It said that the diving operation will be completed by the end of next week. It seems that in this example knowing that the Interfax news agency is the AGENT of the report predicate and It being the AGENT of say could trigger the semantic parallelism based inference required to correctly link the two expressions in contrast to anchoring the pronoun to Moscow. SRL provides the semantic relationships that constituents have with predicates thus allowing us to include document-level event descriptive information into the

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• Simone Paolo Ponzetto and Michael Strube
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• model language
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