VisualSMATCH and AMR ensemble voting tool based on SMATCH.
Ready to run docker image available at dockerhub:
docker run -it -p 9000:9000 didzis/visualsmatch
On Linux open http://localhost:9000, on MacOS X or Windows open http://192.168.99.100:9000. Alternatively, execute: $ ./vsmatch.sh and point your browser to the URL that is shown on the screen.
VisualSMATCH provides user interface for computed SMATCH results, it also employs C6.0 classifier to show systematic (mis)alignments (as rules) between triplets of AMR graphs as seen by SMATCH. For details see:
@InProceedings{gbarzdins-dgosko:2016:NAACL-HLT,
author = {Barzdins, Guntis and Gosko, Didzis},
title = {RIGA: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy},
booktitle = {Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
month = {June},
year = {2016},
address = {San Diego, California},
publisher = {Association for Computational Linguistics},
pages = {to appear},
url = {to appear}
}
To build your own image, inside project directory execute:
$ docker build -t <yourimagename> .
and run container using:
$ docker run -it -p 9000:9000 <yourimagename>
Note that, if not running under Linux, IP address can be obtained using:
$ docker-machine ip default
where default is docker machine name.
Bottle (micro web-framework for Python) fork from github.com/mrdon/bottle.
SMATCH (updated version here).
AMR Bank as sample data.