Xia Cui
Orcid: 0000-0002-1726-3814Affiliations:
- University of Liverpool, Department of Computer Science, UK (PhD 2020)
According to our database1,
Xia Cui authored at least 11 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Learning from Annotator Disagreement Via Weighted Ensemble Optimisation for Subjective Text Classification.
Datenbank-Spektrum, March, 2026
2025
PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short Texts.
Proceedings of the 19th International Workshop on Semantic Evaluation, 2025
2024
Data-Driven or Dataless? Detecting Indicators of Mental Health Difficulties and Negative Life Events in Financial Resilience Using Prompt-Based Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
2021
Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
2020
Learning transferable features for unsupervised domain adaptation in natural language processing.
PhD thesis, 2020
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
2019
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019
2018
A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification.
Knowl. Eng. Rev., 2018
Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018
2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017