PredPatt is a framework for extracting extensible, interpretable, language-neutral predicate-argument patterns that bridge from the deep syntax of the Universal Dependency project to an initial shallow semantic layer. This shallow semantic layer forms the basis for Decomp-aligned semantic annotations on Universal Dependency treebanks and can be separately considered a linguistically well-founded component of a Universal IE system.

The PredPatt system was originally described in the following paper.

White, A.S., D. Reisinger, K. Sakaguchi, T. Vieira, S. Zhang, R. Rudinger, K. Rawlins, & B. Van Durme. 2016. Universal Decompositional Semantics on Universal Dependencies. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1713–1723, Austin, Texas, November 1-5, 2016.

If you make use of this system in a presentation or publication, we ask that you please cite this paper.


Benjamin Van Durme bio photo
Benjamin Van Durme
Aaron Steven White bio photo
Aaron Steven White
Rachel Rudinger bio photo
Rachel Rudinger
Sheng Zhang bio photo
Sheng Zhang