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

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

collaborators

7 papers

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.AI2021★ 2 cited

Sequential Attention Module for Natural Language Processing

Mengyuan Zhou, Jian Ma, Haiqin Yang +2

Recently, large pre-trained neural language models have attained remarkable performance on many downstream natural language processing (NLP) applications via fine-tuning. In this p…

cs.AI2021★ 1 cited

PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation

Shuyi Xie, Jian Ma, Haiqin Yang +3

This paper presents the PALI team's winning system for SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation. We fine-tune XLM-RoBERTa model to solve t…

cs.AI2021

Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables

Xiaoyi Ruan, Meizhi Jin, Jian Ma +4

Question answering from semi-structured tables can be seen as a semantic parsing task and is significant and practical for pushing the boundary of natural language understanding. E…

cs.AI2021

MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training

Jian Ma, Shuyi Xie, Haiqin Yang +4

This paper describes MagicPai's system for SemEval 2021 Task 7, HaHackathon: Detecting and Rating Humor and Offense. This task aims to detect whether the text is humorous and how h…