Code for AAAI 2022 paper: DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.
We release two versions of pre-trained models.
- DialogLM is based on UniLMv2. According to whether sparse attention is introduced, it can be divided into two different versions to process dialogs of different lengths.
- DialogLED builds on Longformer-Encoder-Decoder (LED) architecture and uses window-based denoising as the pre-training task on a large amount of long dialogue data for further training. You can use its base version and large version directly through HuggingFace.
Please download the five datasets we used in our paper here (AMI, ICSI, QMSum, ForeverDreaming, TVMegaSite).
Please go to specific folders to apply them to downstream tasks related to long dialogues.
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