Cornell AMR Semantic Parser
Requirements
Java 8.
Preparing the Repository
- Get all required resources:
./getres.sh(form the root of the repository) - Compile:
ant dist
Pre-trained Models
A pre-trained model is available to download here.
Parsing
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
Preparing the data (required only for training and testing)
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
Attribution
@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}
}