sai-prasanna / suggestion-mining-semeval19

Our submission for Semantic Evaluation 2019 - Task 9 - Suggestion Mining

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SEMEVAL 2019 - Task 9 - Suggestion Mining

Our submission for semeval 2019.

Our final submission uses Convolutional neural network with BERT representations and tri-training is used for domain adaptation.

Installation

To run the code install the requirements

pip install -r requirements.txt

Experiments and Results

  1. Subtask A
  2. Subtask B

Citations

If you use this code in your work, please cite as below:

@article{prasanna2019zoho,
  title={Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining},
  author={Prasanna, Sai and Seelan, Sri Ananda},
  journal={arXiv preprint arXiv:1902.10623},
  year={2019}
}

About

Our submission for Semantic Evaluation 2019 - Task 9 - Suggestion Mining

License:MIT License


Languages

Language:Python 64.9%Language:Jsonnet 35.1%