activity
20202022
most citedMETS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets

10 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL202210 cited

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets

Peilin Zhou, Zeqiang Wang, Dading Chong +6

The COVID-19 pandemic continues to bring up various topics discussed or debated on social media. In order to explore the impact of pandemics on people's lives, it is crucial to und…

cs.CL2022

Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection

Peilin Zhou, Dading Chong, Helin Wang +1

The past ten years have witnessed the rapid development of text-based intent detection, whose benchmark performances have already been taken to a remarkable level by deep learning…

cs.SD20221 cited

Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training

Dading Chong, Helin Wang, Peilin Zhou +1

Transformer-based models attain excellent results and generalize well when trained on sufficient amounts of data. However, constrained by the limited data available in the audio do…

cs.IR2022

Decoupled Side Information Fusion for Sequential Recommendation

Yueqi Xie, Peilin Zhou, Sunghun Kim

Side information fusion for sequential recommendation (SR) aims to effectively leverage various side information to enhance the performance of next-item prediction. Most state-of-t…

cs.CL20215 cited

Joint Multiple Intent Detection and Slot Filling via Self-distillation

Lisong Chen, Peilin Zhou, Yuexian Zou

Intent detection and slot filling are two main tasks in natural language understanding (NLU) for identifying users' needs from their utterances. These two tasks are highly related…

cs.CL20203 cited

Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension

Nuo Chen, Fenglin Liu, Chenyu You +2

Recently, the attention-enhanced multi-layer encoder, such as Transformer, has been extensively studied in Machine Reading Comprehension (MRC). To predict the answer, it is common…