Shengqiong Wu

Orcid: 0000-0001-6192-1194

According to our database¹, Shengqiong Wu authored at least 33 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Modeling Unified Semantic Discourse Structure for High-quality Headline Generation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

NExT-GPT: Any-to-Any Multimodal LLM.

[BibT_eX]

[DOI]

CoRR, 2023

Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

DialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs.

[BibT_eX]

[DOI]

CoRR, 2023

Revisiting Conversation Discourse for Dialogue Disentanglement.

[BibT_eX]

[DOI]

CoRR, 2023

ECQED: Emotion-Cause Quadruple Extraction in Dialogs.

[BibT_eX]

[DOI]

CoRR, 2023

DialogRE<sup>C+</sup>: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Entity-centered Cross-document Relation Extraction.

[BibT_eX]

[DOI]

CoRR, 2022

Prompt-Based Generative Multi-label Emotion Prediction with Label Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2022

LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Matching Structure for Dual Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Entity-centered Cross-document Relation Extraction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Unified Named Entity Recognition as Word-Word Relation Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Second-Order Semantic Role Labeling With Global Structural Refinement.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Neural transition model for aspect-based sentiment triplet extraction with triplet memory.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Neural Transition System for End-to-End Opinion Role Labeling.

[BibT_eX]

[DOI]

Shengqiong Wu

Donghong Ji

CoRR, 2021

Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extractionwith Rich Syntactic Knowledge.

[BibT_eX]

[DOI]

CoRR, 2021

Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Shengqiong Wu

Hao Fei

Donghong Ji

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Shengqiong Wu

Timeline

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On csauthors.net:

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