Retrofitting Word Vectors to Semantic Lexicons 2015 (15HLT retrofitting word v

Retrofitting Word Vectors to Semantic LexiconsManaal Faruqui Jesse Dodge Sujay K. Jauhar Chris Dyer Eduard Hovy Noah A. SmithLanguage Technologies Institute Carnegie Mellon University Pittsburgh, PA, 15213, USA{mfaruqui,jessed,sjauhar,cdyer,ehovy,nasmith}@cs.cmu.eduAbstractVector space word representations are learned from distributional information of words in large corpora. Although such statistics are semantically informative, they disregard the valuable information that is contained in se- m