Code for our paper "Sematic Representation for Dialogue Modeling" in ACL2021

Overview

AMR-Dialogue

An implementation for paper "Semantic Representation for Dialogue Modeling". You may find our paper here.

Requirements

  • python 3.6
  • pytorch 1.6
  • Tesla V100 (32G)
  • Memory > 150G

We recommend to use conda to manage virtual environments:

conda create --name <env> --file requirements.txt

Data

We provide preprocessed data for two tasks here [tobeadded].

Preprocessing

bash /path/to/code/preprocess.sh

Training

bash /path/to/code/run-dual(hier).sh

Evaluation

bash /path/to/code/eval.sh                   # for dialogue relation extraction
bash /path/to/code/decode.sh                 # for dialogue response generation

Todo

  • upload preprocessed data
  • upload trained checkpoint
  • clean code

References

@inproceedings{bai-etal-2020-online,
    title = "Semantic Representation for Dialogue Modeling",
    author = "Bai, Xuefeng  and 
      Chen, Yulong and
      Song, Linfeng  and
      Zhang, Yue",
    booktitle = "Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)",
    month = August,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "todo",
    doi = "todo",
    pages = "todo",
}
Owner
xfbai
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xfbai
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