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Tools for relation extraction with FCM.
These tools are used in the following paper:
Mo Yu, Matthew R. Gormley, Mark Dredze. Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction. NAACL 2015.
################### #CODE DESCRIPTION:# ###################
We provide two tools in this package:
####################################### #Feature-Rich Compositional Model(FCM)# ####################################### code/fcm:
We build the tools for ACE and ERE relation extraction on top of the FCM code from https://github.com/Gorov/FCM_nips_workshop.
####### #LRFCM# ####### code/lrfcm:
The code for low-rank FCM proposed in our paper.
################### #DATA DESCRIPTION:# ################### data_split/{ace|ere}/:
Our data split for ACE 2005 and ERE.
emb/:
The word embeddings used in our paper (filtered based on the ACE and ERE vocabulary).
If you want to cite this tool, please using the following bibtext:
@InProceedings{yu-gormley-dredze:2015:NAACL-HLT,
author = {Yu, Mo and Gormley, Matthew R. and Dredze, Mark},
title = {Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction},
booktitle = {Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
month = {May--June},
year = {2015},
address = {Denver, Colorado},
publisher = {Association for Computational Linguistics},
pages = {1374--1379},
url = {http://www.aclweb.org/anthology/N15-1155} }
For questions, comments or to report bugs, please contact gflfof@gmail.com