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Spk-Dialogue: Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning

An implementation of the IJCNLP 2017 paper: Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning.

Content

Data

the data used in the paper is DSTC4

Requirements

Tensorflow ver1.2 CUDNN ver5.1 Python 2.7

Usage

  • Change the path in slu_preprocess.py line 29 to your custom GloVe file path.
  • Note that user should add a 200 dims 0.0 at the end of the GloVe file.
  • cd into every sub-directory and run python2.7 slu.py will reproduce the results.

Reference

Main papers to be cited

@inproceedings{chen2017speaker,
  author    = {Ta-Chung Chi and Po-Chun Chen and Shang-Yu Su and Yun-Nung Chen},
  title	    = {Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning},
  booktitle = {Proceedings of 2017 International Joint Conference on Natural Language Processing},
  year	    = {2017},
  address   = {Taipei, Taiwan}
}

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Speaker Role Contextual Model for Dialogues

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