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XARA: An XML- and Rule-Based Semantic Role Labeler

PublisherAssociation for Computational Linguistics
Format102.5KB PDFDate added01 Jun 2007
Topics Web Services, XML, Programming Languages
Downloads2

XARA is a rule-based PropBank labeler for Alpino XML files, written in Java. The author of this paper used XARA in his research on semantic role labeling in a Dutch corpus to bootstrap a dependency treebank with semantic roles. Rules in XARA are based on XPath expressions, which makes it a versatile tool that is applicable to other treebanks as well. In addition to automatic role annotation, XARA is able to extract training instances (sets of features) from an XML based treebank. Such an instance base can be used to train machine learning algorithms for automatic semantic role labeling (SRL). In the semantic role labeling research, the author used the Tilburg Memory Learner (TiMBL) for this purpose.

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