activity
20162023
most citedQaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition

27 citations · 70 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CL2023

SWING: Balancing Coverage and Faithfulness for Dialogue Summarization

Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma +5

Missing information is a common issue of dialogue summarization where some information in the reference summaries is not covered in the generated summaries. To address this issue,…

cs.CL2022

Learning Dialogue Representations from Consecutive Utterances

Zhihan Zhou, Dejiao Zhang, Wei Xiao +4

Learning high-quality dialogue representations is essential for solving a variety of dialogue-oriented tasks, especially considering that dialogue systems often suffer from data sc…

cs.CL2022★ 27 cited

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition

Andy T. Liu, Wei Xiao, Henghui Zhu +3

Recently, prompt-based learning for pre-trained language models has succeeded in few-shot Named Entity Recognition (NER) by exploiting prompts as task guidance to increase label ef…

cs.LG2021★ 1 cited

Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant

Wei Xiao, Qian Hu, Thahir Mohamed +4

Intelligent personal assistants (IPA) enable voice applications that facilitate people's daily tasks. However, due to the complexity and ambiguity of voice requests, some requests…

cs.CL2021★ 6 cited

Virtual Augmentation Supported Contrastive Learning of Sentence Representations

Dejiao Zhang, Wei Xiao, Henghui Zhu +2

Despite profound successes, contrastive representation learning relies on carefully designed data augmentations using domain specific knowledge. This challenge is magnified in natu…

cs.CL2021★ 1 cited

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora

Xisen Jin, Dejiao Zhang, Henghui Zhu +5

Pretrained language models (PTLMs) are typically learned over a large, static corpus and further fine-tuned for various downstream tasks. However, when deployed in the real world,…