Shallow Semantic Parsing

Overview

Shallow semantic parsing is labeling phrases of a sentence with semantic roles with respect to a target word.
For example, the sentence

Shaw Publishing offered Mr. Smith a reimbursement last March.

Is labeled as:

[_AGENTShaw Publishing] offered [_RECEPIENTMr. Smith] [_THEMEa reimbursement] [_TIMElast 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:

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 FrameNet and PropBank projects.

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.

People

Professors:
- Dan Jurafsky
- Christopher Manning
Alumni/Alumnae:
- Kristina Toutanova, now at Microsoft Research
- Aria Haghighi, now at UC Berkeley
- Huihsin Tseng, now at Yahoo!

Publications

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. [pdf]
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. [pdf]
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. [pdf]
Honglin Sun and Daniel Jurafsky. 2004. Shallow Semantic Parsing of Chinese. In Proceedings of NAACL-HLT 2004 [pdf]
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 Mining (ICDM-2003). [pdf]