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Ngo Vu Minh

2 accepted papers

2026

GloCTM: Cross-Lingual Topic Modeling via a Global Context Space

AAAI 2026technical

Cross-lingual topic modeling seeks to uncover coherent and semantically aligned topics across languages—a task central to multilingual understanding. Yet most existing models learn topics in disjoint, language-specific spaces and rely on alignment mechanisms (e.g., bilingual dictionaries) that often

Cited by 0SourcePDFScholar
2025

XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments

EMNLP 2025

Cross-lingual topic modeling aims to uncover shared semantic themes across languages. Several methods have been proposed to address this problem, leveraging both traditional and neural approaches. While previous methods have achieved some improvements in topic diversity, they often struggle to ensur