Chen Gong

Orcid: 0000-0003-2570-6969

Affiliations:
  • Soochow University, School of Computer Science and Technology, Suzhou, China


According to our database1, Chen Gong authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
PromptCD: Coupled and Decoupled Prompt Learning for Vision-Language Models.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Improving Chinese Named Entity Recognition with Multi-grained Words and Part-of-Speech Tags via Joint Modeling.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Chinese Spoken Named Entity Recognition in Real-world Scenarios: Dataset and Approaches.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MODDP: A Multi-modal Open-domain Chinese Dataset for Dialogue Discourse Parsing.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
MCG-MNER: A Multi-Granularity Cross-Modality Generative Framework for Multimodal NER with Instruction.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Discourse-Aware Causal Emotion Entailment.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multi-grained Aspect Fusion for Review Response Generation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022
Neural Coupled Sequence Labeling for Heterogeneous Annotation Conversion.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data.
CoRR, 2022

Discourse-Aware Emotion Cause Extraction in Conversations.
CoRR, 2022

MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
An In-depth Study on Internal Structure of Chinese Words.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Hierarchical LSTM with char-subword-word tree-structure representation for Chinese named entity recognition.
Sci. China Inf. Sci., 2020

Multi-grained Chinese Word Segmentation with Weakly Labeled Data.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2017
Multi-Grained Chinese Word Segmentation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


  Loading...