activity
20202023
most citedDensity-Based Dynamic Curriculum Learning for Intent Detection

13 citations · 26 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CL2023

Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations

Yinyi Wei, Shuaipeng Liu, Hailei Yan +3

With the extensive accumulation of conversational data on the Internet, emotion recognition in conversations (ERC) has received increasing attention. Previous efforts of this task…

cs.CL2023

Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation

Yuncheng Hua, Xiangyu Xi, Zheng Jiang +4

End-to-end generation-based approaches have been investigated and applied in task-oriented dialogue systems. However, in industrial scenarios, existing methods face the bottlenecks…

cs.SD2022

Label-free Knowledge Distillation with Contrastive Loss for Light-weight Speaker Recognition

Zhiyuan Peng, Xuanji He, Ke Ding +2

Very deep models for speaker recognition (SR) have demonstrated remarkable performance improvement in recent research. However, it is impractical to deploy these models for on-devi…

cs.SD2022

Covariance Regularization for Probabilistic Linear Discriminant Analysis

Zhiyuan Peng, Mingjie Shao, Xuanji He +4

Probabilistic linear discriminant analysis (PLDA) is commonly used in speaker verification systems to score the similarity of speaker embeddings. Recent studies improved the perfor…

cs.CL2022

MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts

Xiangyu Xi, Jianwei Lv, Shuaipeng Liu +3

Event detection (ED) identifies and classifies event triggers from unstructured texts, serving as a fundamental task for information extraction. Despite the remarkable progress ach…

eess.AS2022★ 1 cited

Peak-First CTC: Reducing the Peak Latency of CTC Models by Applying Peak-First Regularization

Zhengkun Tian, Hongyu Xiang, Min Li +3

The CTC model has been widely applied to many application scenarios because of its simple structure, excellent performance, and fast inference speed. There are many peaks in the pr…