Shallow Semantic Parsing
Shallow semantic parsing is labeling phrases of a sentence with semantic roles with respect to a target word.
For example, the sentence
Is labeled as:
Shaw Publishing offered Mr. Smith a reimbursement last March.
We work with a number of collaborators, beginning with Dan Gildea in his dissertation work, on automatic semantic parsing. Much of Dan Gildeas dissertation work was written up here:
[AGENTShaw Publishing] offered [RECEPIENTMr. Smith] [THEMEa reimbursement] [TIMElast March] .
Daniel Gildea and Daniel Jurafsky. 2002.
Automatic Labeling of Semantic Roles.
Computational Linguistics 28:3, 245-288.
This work also involves close collaboration with the
Currently, we focus on building joint probabilistic models for simultaneous assignment of labels to all nodes in a syntactic parse tree. These models are able to capture the strong correlations among decisions at different nodes.
- Kristina Toutanova, now at Microsoft Research
- Aria Haghighi, now at UC Berkeley
- Huihsin Tseng, now at Yahoo!
Kristina Toutanova, Aria Haghighi, and Christopher D. Manning. 2005. Joint Learning Improves Semantic Role Labeling. In Proceedings of ACL 2005.[pdf]
Daniel Gildea and Daniel Jurafsky. 2002. Automatic Labeling of Semantic
Roles. Computational Linguistics 28:3, 245-288.
Pradhan, Sameer, Honglin Sun, Wayne Ward, James H. Martin, and Daniel
Jurafsky. 2004. Parsing Arguments of Nominalizations in English and
Chinese. In Proceedings of NAACL-HLT 2004.
Pradhan, Sameer, Wayne Ward, Kadri Hacioglu, James H. Martin, and Daniel
Jurafsky. 2004. Shallow Semantic Parsing Using Support Vector Machines. In
Proceedings of NAACL-HLT 2004.
Honglin Sun and Daniel Jurafsky. 2004. Shallow Semantic Parsing of
Chinese. In Proceedings of NAACL-HLT 2004
Pradhan, Sameer, Kadri Hacioglu, Wayne Ward, James H. Martin, and Daniel
Jurafsky. 2003. Semantic Role Parsing: Adding Semantic Structure to
Unstructured Text. In Proceedings of the International Conference on Data