PSDVec: A toolbox for incremental and scalable word embedding

• المؤلفون الرئيسيون: Li, Shaohua, Zhu, Jun, Miao, Chunyan
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2017
• الموضوعات: Word embedding; Matrix factorization
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/83166; http://hdl.handle.net/10220/42454
• المؤسسة: Nanyang Technological University

PSDVec is a Python/Perl toolbox that learns word embeddings, i.e. the mapping of words in a natural language to continuous vectors which encode the semantic/syntactic regularities between the words. PSDVec implements a word embedding learning method based on a weighted low-rank positive semidefinite...