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20202025
most citedDialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations

13 citations · 22 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding

Dou Hu, Lingwei Wei, Wei Zhou +1

This paper proposes a new principled multi-task representation learning framework (InfoMTL) to extract noise-invariant sufficient representations for all tasks. It ensures sufficie…

cs.CL20221 cited

VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding

Dou Hu, Xiaolong Hou, Xiyang Du +4

Pre-trained language models have achieved promising performance on general benchmarks, but underperform when migrated to a specific domain. Recent works perform pre-training from s…

cs.CL20223 cited

MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations

Dou Hu, Xiaolong Hou, Lingwei Wei +2

Emotion Recognition in Conversations (ERC) has considerable prospects for developing empathetic machines. For multimodal ERC, it is vital to understand context and fuse modality in…

cs.CL202113 cited

DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations

Dou Hu, Lingwei Wei, Xiaoyong Huai

Emotion Recognition in Conversations (ERC) has gained increasing attention for developing empathetic machines. Recently, many approaches have been devoted to perceiving conversatio…

cs.CL2020

SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER

Dou Hu, Lingwei Wei

Although character-based models using lexicon have achieved promising results for Chinese named entity recognition (NER) task, some lexical words would introduce erroneous informat…