Xinyin Ma

Adversarial Self-Supervised Data-Free Distillation for Text Classification

2020 · arXiv (Cornell University)

Large pre-trained transformer-based language models have achieved impressive results on a wide range of NLP tasks. In the past few years, Knowledge Distillation(KD) has become a popular paradigm to compress a computationally expensive model to …

A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction

2021

Joint entity and relation extraction framework constructs a unified model to perform entity recognition and relation extraction simultaneously, which can exploit the dependency between the two tasks to mitigate the error propagation problem suffered by …