Papers by Xiaobin Zhu

4 papers
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding (2024.lrec-main)

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Challenge: Existing knowledge graphs lack rich inference patterns and the limited ability to model arbitrary timestamps continuously.
Approach: They propose a temporal knowledge graph-based temporal representation method that decomposes time information by polynomials and then enhances the model's capability to represent arbitrary timestamps flexibly.
Outcome: The proposed method can encode arbitrary time information or even unseen timestamps while capturing rich inference patterns and higher-arity relations of the knowledge base.
Dialectical Structured Reasoning for Explainable Multimodal Fake News Detection (2026.findings-acl)

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Challenge: Existing fake news detection models are opaque and lack deductive transparency . a framework for dialectical structured reasoning is proposed to address this limitation .
Approach: They propose a framework that model fake news detection as an explicit dialectical process over multimodal social context.
Outcome: The proposed framework achieves state-of-the-art while producing transparent explanations that mirror human reasoning process.
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation (2020.acl-main)

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Challenge: Fully supervised neural approaches have achieved significant progress in the task of Chinese word segmentation (CWS) however, they suffer from the cross-domain issue when they come to processing of out-of-domain data.
Approach: They propose to use Chinese word as a target domain for distant annotation and adversarial training to reduce noise and maximize utilization of the source domain information.
Outcome: The proposed method outperforms existing state-of-the-art methods on real-world datasets and significantly outperformed previous state- of-the art methods.
CTAP for Chinese:A Linguistic Complexity Feature Automatic Calculation Platform (2022.lrec-1)

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Challenge: Existing tools to analyze linguistic complexity are limited and different because of different research purposes.
Approach: They propose to integrate Chinese component into CTAP to analyze linguistic complexity . they propose to use 196 linguistic complex indexes to calculate linguistic characteristics .
Outcome: The proposed indexes are compared with three linguistic complexity tools for Chinese . the proposed index sets include four levels of 196 linguistic complex indexe .

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