Extracting the features of similarity in short texts
Conference paper > Full Text · 2015
Authors: Tarık KIŞLA, Senem Kumova Metin, BAHAR KARAOĞLAN
2015 23nd Signal Processing and Communications Applications Conference (SIU), Turkey, Malatya, International, Verbal, Full Text, 2015-2015, WoS, pp 180-183
Summary
Automatic identification of text similarity has found applications in information retrieval, text summarization, assessment of machine translation, assessment of question answering, word sense disambiguation and many more. In this work, the results of discrimant analysis applied to find out the cumulative effect of the attributes used in the literature so far (ratio of common words, text lentgths, common word sequences, synonyms, hypernyms, hyponyms) in detecting word similarity are reported.