This repository contains the code for our COLING 2020 paper[pdf]:

Xinhong Chen, Qing Li, Jianping Wang. A Unified Sequence Labeling Model for Emotion Cause Pair Extraction. In Proceedings of the 28th International Conference on Computational Linguistics, page 208-218.

Please cite our paper if you use this code.

Dependencies

• Python 2 (tested on python 2.7.15)
• Tensorflow 1.8.0

Usage

Step1: Divide folds

• if you prefer our dataset devision, then please run the following commands, after which you should see 20 files with "fold#_train.txt" and "fold#_test.txt", where "#" should be 1 to 10.
• cd data_rand
• python divide_fold

Step2: Set up the parameters for the programs you want to run and run the programs

• Choose what program you want to run. For example, to run our models:
• cd ours-ECPE
• Change the dataset paths and the parameters as you want
• python main_cnn.py

Note that if you directly download the repo zip file from the github site, the downloaded "w2v_200.txt" in directory "data_rand" may not be the correct file. Please:

• open the "w2v_200.txt" file in github;
• right click on the website;
• choose "save as" to download the correct file, which should be around 80Mb.

If you are cloning the whole repo, the above issue should not be a problem.

If any problems, feel free to contact: xinhong.chen@my.cityu.edu.hk