Papers by Xuefei Li

3 papers
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention (C18-1)

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Challenge: Existing topic models ignore that one discusses diverse topics when dynamically interacting with different people.
Approach: They propose an Interaction-Aware Topic Model (IATM) for microblog conversations by integrating network embedding and user attention.
Outcome: The proposed model is based on three real-world microblog datasets.
We Need to Talk About Reproducibility in NLP Model Comparison (2023.emnlp-main)

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Challenge: Existing studies show that standard splits produce low reproducible and unreliable conclusions . reproducibility of empirical experimental conclusions is a problem in NLP domain .
Approach: They propose to transform the reproducibility of a model comparison into a probabilistic function . they propose to use a regularized corpus splitting strategy to estimate the model's performance .
Outcome: The proposed estimator achieves a high SNR and significantly increases reproducibility.
Sequential and Repetitive Pattern Learning for Temporal Knowledge Graph Reasoning (2024.lrec-main)

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Challenge: Existing methods to learn temporal evolutional representations of entities are hard to capture the complex temporal patterns such as sequential and repetitive.
Approach: They propose a Sequential and Repetitive Pattern Learning method that captures both sequential and repetitive patterns.
Outcome: The proposed method outperforms state-of-the-art methods on four representative benchmarks on GDELT dataset, where performance improvement of MRR reaches up to 18.84%.

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