GenSense: A Generalized Sense Retrofitting Model

COLING 2018 Yang-Yin LeeTing-Yu YenHen-Hsen HuangYow-Ting ShiueHsin-Hsi Chen

With the aid of recently proposed word embedding algorithms, the study of semantic similarity has progressed and advanced rapidly. However, many natural language processing tasks need sense level representation... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.