18 citations · 36 across the 6 of their papers we have counts for
6 papers
PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity Information
Long Ma, Kai Lu, Tianbo Che +3
The MultiCoNER II task aims to detect complex, ambiguous, and fine-grained named entities in low-context situations and noisy scenarios like the presence of spelling mistakes and t…
A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification
Guang Liu, Hailong Huang, Yuzhao Mao +3
Data augmentation (DA) aims to generate constrained and diversified data to improve classifiers in Low-Resource Classification (LRC). Previous studies mostly use a fine-tuned Langu…
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup
Guang Liu, Yuzhao Mao, Hailong Huang +2
Mixup is a recent regularizer for current deep classification networks. Through training a neural network on convex combinations of pairs of examples and their labels, it imposes l…
DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation
Yuzhao Mao, Qi Sun, Guang Liu +4
Emotion Recognition in Conversations (ERC) is essential for building empathetic human-machine systems. Existing studies on ERC primarily focus on summarizing the context informatio…
Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion
Jingyuan Yang, Guang Liu, Yuzhao Mao +5
Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end multi-domain dialogue system to accomplish complex users' goals under tourist information desk settings. This pap…
An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification
Yue Ma, Zengfeng Zeng, Dawei Zhu +5
This paper describes our approach in DSTC 8 Track 4: Schema-Guided Dialogue State Tracking. The goal of this task is to predict the intents and slots in each user turn to complete…