Parsers and Resources from SemEval 2016
Below you can find links to the system description papers from the participants in SemEval 2016 Task 8. Nearly all task reports contain links to parser code bases. If you are new to AMR parsing or would like to try a new approach, these resources might be quite helpful. Note that they are provided 'as-is.' We have not verified that they will work for you, that the links work, that the descriptions in the papers are complete or accurate, nor that the developers will be able to provide support. Please respect the limitations of the licenseses that accompany this software, if provided.
- Guntis Barzdins, Didzis Gosko (University of Latvia, IMCS and LETA)
- Alastair Butler (National Institute for Japanese Language and Linguistics)
- Yevgeniy Puzikov, Daisuke Kawahara, Sadao Kurohashi (Kyoto University)
- Lauritz Brandt, David Grimm, Mengfei Zhou, Yannick Versley (Ruprecht-Karls-Universitat)
- James Goodman1, Andreas Vlachos2, Jason Naradowsky1 (1University College London and 2University of Sheffield)
- Chuan Wang1, Sameer Pradhan2, Nianwen Xue1, Xiaoman Pan3, Heng Ji3 (1Brandeis University, 2cemantix.org, and 3Rensselaer Polytechnic Institute)
- Johannes Bjerva, Johan Bos, Hessel Haagsma (University of Groningen)
- Xiaochang Peng, Daniel Gildea (University of Rochester)
- Sudha Rao, Yogarshi Vyas, Hal Daume III, Philip Resnik (University of Maryland)
- William R. Foland Jr.1, James H. Martin2 (1OK Robot Go, Ltd. and 2University of Colorado)
- Jeffrey Flanigan1, Chris Dyer1, Noah A. Smith2, Jaime Carbonell1 (1Carnegie Mellon University and 2University of Washington)
For more information on the 2016 task as a whole you can consult the task description paper