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Conference
Jointprop:Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation
Semi-supervised learning has been an important approach to address challenges in extracting entities and relations from limited data. …
Yandan Zheng
,
Anran Hao
,
Luu Anh Tuan
Multi-Scale Receptive Field Graph Model for Emotion Recognition in Conversations
Emotion recognition in conversations (ERC) has gained more attention, where contextual information modeling and multimodal fusion have …
Jie Wei
,
Guanyu Hu
,
Luu Anh Tuan
,
Xinyu Yang
,
WenJing Zhu
Zero-Shot Text Classification via Self-Supervised Tuning
Existing solutions to zero-shot text classification either conduct prompting with pre-trained language models, which is sensitive to …
Liu Chaoqun
,
Wenxuan Zhang
,
Guizhen Chen
,
Xiaobao Wu
,
Luu Anh Tuan
,
Chip Hong Chang
,
Lidong Bing
InfoCTM:A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling
Cross-lingual topic models have been prevalent for cross-lingual text analysis by revealing aligned latent topics. However, most …
Xiaobao Wu
,
Xinshuai Dong
,
Liu Chaoqun
,
Liang-Ming Pan
,
Luu Anh Tuan
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction
Modern Review Helpfulness Prediction systems are dependent upon multiple modalities, typically texts and images. Unfortunately, those …
Thong Nguyen
,
Xiaobao Wu
,
Luu Anh Tuan
,
Zhen Hai
,
Lidong Bing
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification
This paper proposes a new neural architecture that exploits readily available sentiment lexicon resources. The key idea is that that …
Yi Tay
,
Luu Anh Tuan
,
Siu Cheung Hui
,
Jian Su
Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition
Speech emotion recognition has made significant progress in recent years, in which feature representation learning has been paid more …
Jie Wei
,
Guanyu Hu
,
Xinyu Yang
,
Luu Anh Tuan
,
Yizhuo Dong
Is Discourse Role Important for Emotion Recognition in Conversation?
A conversation is a sequence of utterances, where each utterance plays a specific discourse role while expressing a particular emotion. …
Donovan Ong
,
Jian Su
,
Bin Chen
,
Luu Anh Tuan
,
Ashok Narendranath
,
Yue Li
,
Shuqi Sun
,
Yingzhan Lin
,
Haifeng Wang
Long Range Graph Benchmark
Graph Neural Networks (GNNs) that are based on the message passing (MP) paradigm generally exchange information between 1-hop neighbors …
Dwivedi Vijay Prakash
,
Ladislav Rampasek
,
Mikhail Galkin
,
Ali Parviz
,
Guy Wolf
,
Luu Anh Tuan
,
Dominique Beaini
Certified Robustness Against Natural Language Attacks by Causal Intervention
Deep learning models have achieved great success in many fields, yet they are vulnerable to adversarial examples. This paper follows a …
Haiteng Zhao
,
Chang Ma
,
Xinshuai Dong
,
Luu Anh Tuan
,
Zhi-Hong Deng
,
Hanwang Zhang
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