Kexin Han — accepted AI-conference papers

2025

Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction

Dongming Sheng, Kexin Han, Hao Li, Yan Zhang, Yucheng Huang, Jun Lang +1

NAACL 2025long

Aspect Sentiment Triplet Extraction (ASTE) is a thriving research area with impressive outcomes being achieved on high-resource languages. However, the application of cross-lingual transfer to the ASTE task has been relatively unexplored, and current code-switching methods still suffer from term bou…

Cited by 0 Source ↗PDF ↗Scholar ↗

2023

Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs

Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han +1

AAAI 2023technical

Existing knowledge graph (KG) embedding models have primarily focused on static KGs. However, real-world KGs do not remain static, but rather evolve and grow in tandem with the development of KG applications. Consequently, new facts and previously unseen entities and relations continually emerge, ne…

Cited by 32 Source ↗PDF ↗code ↗Scholar ↗