DR_RE

This code is for our ACL2017 paper: "Jointly Extracting Relations with Class Ties via Effective Deep Ranking".

Description

This code contains three parts according to three loss functions in our paper.
AVE: using average method to gain bag representation; 
ATT: using sentence-level attention to get bag representation; 
ATT+Multi: the extended version of ATT and achieves the best performance. 

Code Use

Take the code of ATT+Multi for example: 
cd ATT+Multi 
mkdir out
make 
./train 

the results are in out/pr.txt

Data Fetch

You can obtain the data from data[1][2].

Citation

This code is based on the codes from [1], so if you want  to use this code, please cite the following papers:

@InProceedings{
author = 	"Ye, Hai 
		and Chao, Wenhan
		and Luo, Zhunchen
		and Li, Zhoujun",
title = 	"Jointly Extracting Relations with Class Ties via Effective Deep Ranking",
booktitle = 	"Proceedings of the 55th Annual Meeting of the Association for      Computational Linguistics (Volume                         1: Long Papers)",
year = 	"2017",
publisher = 	"Association for Computational Linguistics"
}

@inproceedings{
author    = {	Yankai Lin and
    	        Shiqi Shen and
    	       	Zhiyuan Liu and
           		Huanbo Luan and
        	        Maosong Sun},
title     = {Neural Relation Extraction with Selective Attention over Instances},
booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational
                 Linguistics, {ACL} 2016, August 7-12, 2016, Berlin, Germany, Volume
                 1: Long Papers},
year      = {2016}
}

Referrence

[1] Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. 2016. Neural relation extraction with selective attention over instances. In Proceedings of ACL. volume 1, pages 2124–2133.
[2] Sebastian Riedel, Limin Yao, and Andrew McCallum. 2010. Modeling relations and their mentions without labeled text. In Proceedings of ECML-PKDD. Springer, pages 148–163.