Improving Semantic Similarity of Words by Retrofitting Word Vectors in Sense Level.

作者： Rui Zhang , Peter Schneider-Kamp , Arthur Zimek

关键词: Word (computer architecture) 、 Natural language processing 、 Computer science 、 Retrofitting 、 Semantic similarity 、 Artificial intelligence

摘要: … This paper presents an approach for retrofitting pre-trained word representations into sense level representations to improve semantic distinction of words. We use semantic relations as …