Stephen Boxwell

Also published as: Stephen A. Boxwell


2011

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Semantic Role Labeling Without Treebanks?
Stephen Boxwell | Chris Brew | Jason Baldridge | Dennis Mehay | Sujith Ravi
Proceedings of 5th International Joint Conference on Natural Language Processing

2010

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What a Parser Can Learn from a Semantic Role Labeler and Vice Versa
Stephen Boxwell | Dennis Mehay | Chris Brew
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

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A Pilot Arabic CCGbank
Stephen A. Boxwell | Chris Brew
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

We describe a process for converting the Penn Arabic Treebank into the CCG formalism. Previous efforts have yielded CCGbanks in English, German, and Turkish, thus opening these languages to the sophisticated computational tools developed for CCG and enabling further cross-linguistic development. Conversion from a context free grammar treebank to a CCGbank is a four stage process: head finding, argument classification, binarization, and category conversion. In the process of implementing a basic CCGbank conversion algorithm, we reveal properties of Arabic grammar that interfere with conversion, such as subject topicalization, genitive constructions, relative clauses, and optional pronominal subjects. All of these problematic phenomena can be resolved in a variety of ways - we discuss advantages and disadvantages of each in their respective sections. We detail these and describe our categorial analysis of each of these Arabic grammatical phenomena in depth, as well as technical details on their integration into the conversion algorithm.

2009

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Brutus: A Semantic Role Labeling System Incorporating CCG, CFG, and Dependency Features
Stephen Boxwell | Dennis Mehay | Chris Brew
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP

2008

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Projecting Propbank Roles onto the CCGbank
Stephen Boxwell | Michael White
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

This paper describes a method of accurately projecting Propbank roles onto constituents in the CCGbank and automatically annotating verbal categories with the semantic roles of their arguments. This method will be used to improve the structure of the derivations in the CCGbank and to facilitate research on semantic role tagging and broad coverage generation with CCG.