Word Similarity Measure based on Immune Principles Inspired Word Representation
Yang Jinfen · Intelligent Computer and Applications · 2015
Word similarity measure is important to researches on natural language processing,information extraction,etc.Corpus based similarity computing is a most important type of methods for the task,by which word vector- representations are learnt from corpuses and are applied for word similarity measure with a cosine function. This research proposes a new method for word similarity computing based on immune principles inspired word representations. The proposed method is validated on the data set of Sem Eval 2012 Task 4 and is compared with other published researches. Experimental results show that the proposed method is effective and outperforms most other published researches.