Converse_reading_cmr
code, data, and model for ACL-19 paper "Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading"
Overview:
The code provided is for the paper "Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading" by Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao. The code includes two separate codebases: one for recreating the dataset used in the experiments and the other for the CMR (Contentful Neural Conversation with On-demand Machine Reading) model described in the paper. The code is publicly available on GitHub and can be used to reproduce the experiments and results of the paper.
Features:
- Two codebases: one for dataset creation and one for the CMR model
- Reproducibility: code can be used to recreate the dataset and replicate the experiments
- Publicly available: code is freely accessible on GitHub
Summary:
The provided code for "Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading" includes two separate codebases for dataset creation and the CMR model. It allows for the reproduction of the paper's experiments and results and is publicly available on GitHub. The installation process involves downloading the raw data and running the provided code to recreate the dataset if desired.
