Xulang Zhang

Orcid: 0000-0002-2016-7575

According to our database1, Xulang Zhang authored at least 13 papers between 2021 and 2025.

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Bibliography

2025
Self-explanatory and Retrieval-augmented LLMs for Financial Sentiment Analysis.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

2024
Granular Syntax Processing with Multi-Task and Curriculum Learning.
Cogn. Comput., November, 2024

A survey on semantic processing techniques.
Inf. Fusion, January, 2024

Multilingual Emotion Recognition: Discovering the Variations of Lexical Semantics between Languages.
Proceedings of the International Joint Conference on Neural Networks, 2024

Understanding the Hidden State of Language Models from the Perspective of Sentiment Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2024

Evaluating Vision Language Models in Detecting Learning Engagement.
Proceedings of the IEEE International Conference on Data Mining, 2024

SenticNet 8: Fusing Emotion AI and Commonsense AI for Interpretable, Trustworthy, and Explainable Affective Computing.
Proceedings of the HCI International 2024 - Late Breaking Papers, 2024

Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

GPTEval: A Survey on Assessments of ChatGPT and GPT-4.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A survey on syntactic processing techniques.
Artif. Intell. Rev., June, 2023

Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021
Enhancing Negation Scope Detection using Multitask Learning.
Proceedings of the 2021 International Conference on Data Mining, 2021


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