Weiming Lü

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 …

Insert or Attach: Taxonomy Completion via Box Embedding

2023 · arXiv (Cornell University)

Taxonomy completion, enriching existing taxonomies by inserting new concepts as parents or attaching them as children, has gained significant interest. Previous approaches embed concepts as vectors in Euclidean space, which makes it difficult to model …

DiffusionNER: Boundary Diffusion for Named Entity Recognition

2023 · arXiv (Cornell University)

In this paper, we propose DiffusionNER, which formulates the named entity recognition task as a boundary-denoising diffusion process and thus generates named entities from noisy spans. During training, DiffusionNER gradually adds noises to the golden …

Focus-aware Response Generation in Inquiry Conversation

2023

Inquiry conversation is a common form of conversation that aims to complete the investigation (e.g., court hearing, medical consultation and police interrogation) during which a series of focus shifts occurs. While many models have been …

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 …