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cl_interactive_argument_pair_identification's Introduction

A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction(EMNLP 2022)

The method is implemented using PyTorch.

Folder

  • config: the config and hyperparameter file
  • data: please put data in this folder
  • dataset.py: data preprocessing file
  • models.py: model file.
  • evaluation.py: evaluation function file
  • train.py: training, validation function file
  • test.py: testing function
  • ace.py: argument-context extraction module

Train a model:

python train.py

config/hyparameter.json is the config file. It contains a number of hyperparameters. Hyperparameters can be modified for custom training.
noisy: NO,RandomWordAug,BackTranslationAug,KeyboardAug
objective:BCE,BCE+SCL
hard_sample_con:NO,YES
model_type：bert_without_context,bert_with_context

Test a model:

python test.py

Contact

[email protected]

Citation

cl_interactive_argument_pair_identification's People

Contributors

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