Cross-lingual Lexical Sememe Prediction
Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie, Zhiyuan Liu · 2018
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 low-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.