2 papers
cs.CL2025
LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework
Chia-Hsuan Chang, Jui-Tse Tsai, Yi-Hang Tsai +1
Topic modeling is widely used for uncovering thematic structures within text corpora, yet traditional models often struggle with specificity and coherence in domain-focused applica…
cs.CL2024
Refining Dimensions for Improving Clustering-based Cross-lingual Topic Models
Chia-Hsuan Chang, Tien-Yuan Huang, Yi-Hang Tsai +2
Recent works in clustering-based topic models perform well in monolingual topic identification by introducing a pipeline to cluster the contextualized representations. However, the…