Shengqiong Wu
Orcid: 0000-0001-6192-1194
According to our database1,
Shengqiong Wu
authored at least 46 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding.
CoRR, 2024
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction.
CoRR, 2024
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
Self-Adaptive Fine-grained Multi-modal Data Augmentation for Semi-supervised Muti-modal Coreference Resolution.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
CoRR, 2023
DialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs.
CoRR, 2023
DialogRE<sup>C+</sup>: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
CoRR, 2022
Prompt-Based Generative Multi-label Emotion Prediction with Label Contrastive Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2022
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Mastering the Explicit Opinion-Role Interaction: Syntax-Aided Neural Transition System for Unified Opinion Role Labeling.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
High-Order Pair-Wise Aspect and Opinion Terms Extraction With Edge-Enhanced Syntactic Graph Convolution.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Neural transition model for aspect-based sentiment triplet extraction with triplet memory.
Neurocomputing, 2021
Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extractionwith Rich Syntactic Knowledge.
CoRR, 2021
Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Aggressive Language Detection with Joint Text Normalization via Adversarial Multi-task Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2020