Terminology-Aware Medical Dialogue Generation

Author:

Tang Chen1,Zhang Hongbo2,Loakman Tyler2,Lin Chenghua2,Guerin Frank1

Affiliation:

1. The University of Surrey,Department of Computer Science,UK

2. The University of Sheffield,Department of Computer Science,UK

Funder

China Scholarship Council

UK Research and Innovation

Publisher

IEEE

Reference19 articles.

1. NGEP: A graph-based event planning framework for story generation;tang;Proceedings of AACL-IJCNLP,2022

2. Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition

3. EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention

4. Improving Chinese story generation via awareness of syntactic dependencies and semantics;huang;Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2 Short Papers),2022

5. Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension;lewis,2019

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