EasySRL a java neural network CCG parser. Generates a logical form for a given utterance.

EasySRL builds logical forms for natural language sentences, by jointly modelling CCG and semantic role labelling. It uses an efficient A* parsing algorithm, meaning it can be used to process large corpora. A demo is online here:http://lil.cs.washington.edu/easysrl/demo.cgi

If you use the parser for research, please cite the following paper:

@inproceedings{lewis:2015, title={Joint A* CCG Parsing and Semantic Role Labelling}, author={Lewis, Mike and He, Luheng and Zettlemoyer, Luke}, booktitle={Empirical Methods in Natural Language Processing}, year={2015} }

A pretrained model is available here: https://drive.google.com/file/d/0B7AY6PGZ8lc-R1E3aTA5WG54bWM/view?usp=sharing

If parsing questions, use this model instead: https://drive.google.com/file/d/0B7AY6PGZ8lc-bVZXSTM0RWlrVTg/view?usp=sharing

Basic usage: java -jar easysrl.jar –model modelFolder

For CCG syntactic output, use: java -jar easysrl.jar –model modelFolder –outputFormat ccgbank

For semantic role labelling output, use: java -jar easysrl.jar –model modelFolder –outputFormat srl

To get n-best parses: java -jar easysrl.jar –model modelFolder –nbest 10 –supertaggerbeam 0.001

Please contact Mike Lewis with any questions or feature requests (email address in the paper).