Soon-Sun Kwon

ProtoXTM: Cross-Lingual Topic Modeling with Document-Level Prototype-based Contrastive Learning

Cross-lingual topic modeling (CLTM) is an essential task in the field of data mining and natural language processing, aiming to extract aligned and semantically coherent topics from bilingual corpora. Recent advances in cross-lingual neural topic models have widely leveraged bilingual dictionaries t