This repository provides the implement of the model described in the paper BLCU_NLP at SemEval-2018 Task 12: An Ensemble Model for Argument Reasoning Based on Hierarchical Attention.
The experiment is based on TensorFlow platform.
The model_code directory contains the train/dev/test data and codes of hierarchical attention model. To get the predict answer, run
$ cd model_code
$ python model_tf.py
The answer will be saved as test_answer in the current directory.
The ensemble directory contains scripts for majority voting. Put the different dev answer files into dev_answers directory, and run
$ perl voting_dev.pl
The accuracy after voted will be print on the screen, and the new answer file will be saved as dev_voted_answer
Put the different test answer files into dev_answers directory, and run
$ perl voting_test.pl
The accuracy after voted will be print on the screen, and the new answer file will be saved as test_voted_answer
The results of our experiments are as shown.
