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20202026
most citedDialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations

13 citations · 27 across the 14 of their papers we have counts for

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10 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.CL2023

Structured Probabilistic Coding

Dou Hu, Lingwei Wei, Yaxin Liu +2

This paper presents a new supervised representation learning framework, namely structured probabilistic coding (SPC), to learn compact and informative representations from input re…

cs.CL2023★ 4 cited

Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations

Dou Hu, Yinan Bao, Lingwei Wei +2

Extracting generalized and robust representations is a major challenge in emotion recognition in conversations (ERC). To address this, we propose a supervised adversarial contrasti…

cs.CL2023

UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis

Dou Hu, Lingwei Wei, Yaxin Liu +2

This paper describes our system designed for SemEval-2023 Task 12: Sentiment analysis for African languages. The challenge faced by this task is the scarcity of labeled data and li…

cs.CL2022★ 1 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.CL2022★ 3 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.CL2022

PALI-NLP at SemEval-2022 Task 4: Discriminative Fine-tuning of Transformers for Patronizing and Condescending Language Detection

Dou Hu, Mengyuan Zhou, Xiyang Du +5

Patronizing and condescending language (PCL) has a large harmful impact and is difficult to detect, both for human judges and existing NLP systems. At SemEval-2022 Task 4, we propo…

cs.CL2021★ 13 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…

cs.CL2020★ 1 cited

Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis

Lingwei Wei, Dou Hu, Wei Zhou +5

Document-level Sentiment Analysis (DSA) is more challenging due to vague semantic links and complicate sentiment information. Recent works have been devoted to leveraging text summ…