Cross-lingual Lexical Sememe Prediction

Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie, Zhiyuan Liu
2018 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing  
Sememes are defined as the minimum semantic units of human languages. As important knowledge sources, sememe-based linguistic knowledge bases have been widely used in many NLP tasks. However, most languages still do not have sememe-based linguistic knowledge bases. Thus we present a task of cross-lingual lexical sememe prediction, aiming to automatically predict sememes for words in other languages. We propose a novel framework to model correlations between sememes and multi-lingual words in
more » ... -dimensional semantic space for sememe prediction. Experimental results on real-world datasets show that our proposed model achieves consistent and significant improvements as compared to baseline methods in cross-lingual sememe prediction. The codes and data of this paper are available at https: //github.com/thunlp/CL-SP.
doi:10.18653/v1/d18-1033 dblp:conf/emnlp/QiLSZX018 fatcat:tacr73frbvhp3muffmlhrjwkoa