Below are the resources reported in:
Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan, and Omri Abend. Comprehensive supersense disambiguation of English prepositions and possessives. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, July 15–20, 2018. http://people.cs.georgetown.edu/nschneid/p/pssdisambig.pdf
- STREUSLE: https://github.com/nert-nlp/streusle/, which includes
- the reviews corpus data (version 4.0 specifically: https://github.com/nert-nlp/streusle/releases/tag/v4.0) and utilities for processing the data
- psseval.py for evaluation of SNACS disambiguation
- govobj.py, heuristics for extracting the syntactic governor and object of a SNACS target
- SNACS target identification code: under pssid/ subdirectory
- Annotation guidelines: Nathan Schneider, Jena D. Hwang, Archna Bhatia, Na-Rae Han, Vivek Srikumar, Tim O’Gorman, Sarah R. Moeller, Omri Abend, Austin Blodgett, and Jakob Prange (January 16, 2018). Adposition and Case Supersenses v2: Guidelines for English. arXiv preprint. https://arxiv.org/abs/1704.02134
- Specifically, https://arxiv.org/abs/1704.02134v2 corresponds to the STREUSLE 4.0 release.
- SNACS disambiguation code
- Feature-rich classifier: https://github.com/svivek/supersenses
- Neural classifier: https://github.com/avst34/pss-nn