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Papers
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
EMNLP 2021
Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation
IJCNLP 2021
Correcting Automated and Manual Speech Transcription Errors Using Warped Language Models
INTERSPEECH 2021
Pre-Training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning
INTERSPEECH 2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
EACL 2021
Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation
SEMEVAL 2021
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
EMNLP 2020