Code and dataset for the paper: "A Neural Conversation Generation Model via Equivalent Shared Memory Investigation" https://dl.acm.org/doi/10.1145/3459637.3482407

If you use the system for academic work, please cite:

  @inproceedings{10.1145/3459637.3482407,
    author = {Ji, Changzhen and Zhang, Yating and Liu, Xiaozhong and Jatowt, Adam and Sun, Changlong and Zhu, Conghui and Zhao, Tiejun},
    title = {A Neural Conversation Generation Model via Equivalent Shared Memory Investigation},
    year = {2021},
    isbn = {9781450384469},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3459637.3482407},
    doi = {10.1145/3459637.3482407},
    booktitle = {Proceedings of the 30th ACM International Conference on Information & Knowledge Management},
    pages = {771–781},
    numpages = {11},
    keywords = {deep reading memory network, conversation generation, equivalent shared memory},
    location = {Virtual Event, Queensland, Australia},
    series = {CIKM '21}
    }

Data is available at: https://github.com/jichangzhen/CCN/blob/main/data.txt

Note that due to privacy issues, we release only 5000 records. If you need more data, please contact us by email.