Java 8.

• Get all required resources: ./getres.sh (form the root of the repository)
• Compile: ant dist

A pre-trained model is available to download here.

Given a file sentences.txt, which contains a sentence on each line, and a model file amr.sp, both located in the root of the repository:

java -Xmx8g -jar dist/amr-1.0.jar parse rootDir=`pwd` modelFile=`pwd`/amr.sp sentences=`pwd`/sentences.txt

The output files will be in experiments/parse/logs. To see the full set of options (including increasing the logging level), run:

java -jar dist/amr-1.0.jar

To re-create our experiments, obtain the AMR Bank release 1.0 (LDC2014T12) form LDC. Extract the corpus to the directory corpus/amr_anno_1.0.

Then run the following:

• Compile the code: ant dist
• Prepare the environment: utils/config.sh
• Prepare the data: utils/prepdata-ldc.sh

@InProceedings{artzi-lee-zettlemoyer:2015:EMNLP,
  author    = {Artzi, Yoav  and  Lee, Kenton  and  Zettlemoyer, Luke},
  title     = {Broad-coverage CCG Semantic Parsing with AMR},
  booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2015},
  address   = {Lisbon, Portugal},
  publisher = {Association for Computational Linguistics},
  pages     = {1699--1710},
  url       = {http://aclweb.org/anthology/D15-1198}
}