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CS260Final_Project: Commonsense Explanation for Counter-factual Arguments

This project is from SemEval 2020 Task 4 - Commonsense Validation and Explanation (ComVE) Subtask C. The dataset for this project is from 1.

Our Experiments:

Approaches:

  1. NMT
  2. GPT-2
  3. KaLM(Bart-Large)
  4. GRF

Project Structure

  • data_dir: experiment results with GPT-2:
    • subtaskC_answers_CONFIG.csv are the files of the generated dev results
    • subtaskC_answers_test_CONFIG.csv are the files of the generated test results
  • GPT-2: please refer to the readme under this directory
  • NMT: please refer to the readme under this directory
  • KaLM: please refer to KaLM
  • graph_method: GRF is implemented under this directory, please refer to the readme under this directory

Evaluation Results:

System Dev(BLEU) Test(BLEU) Human PT LM Params
Copy Source 16.53 17.23 N.A. N.A.
NMT around 1.0 around 1.0 0.59 N.A.
GPT2-small 14.01 13.66 1.80 117 M
GPT2-medium 16.79 16.08 1.94 345 M
KaLM (BART-Large) 18.98 18.5 2.08 406 M
GRF (GPT2-small) 17.83 17.56 1.91 117 M
Muti-Task (GPT2-small) 17.11 17.82 1.97 117 M
GRF (GPT2-medium) 18.36 18.45 2.21 345 M
Muti-Task (GPT2-medium) 19.15 18.31 2.26 345 M
  • Copy Source - from the original data

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