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A method for measuring sentence similarity and its application to Conversational Agents

In this paper, semantic information and word order are used in order to determine sentence similarity.  In order to do that, the authors introduce their proposed algorithm which takes into account our common, shared lexical corpus and the frequency of words that are similar across sentences.   The analyzation of text symmetry has been used on long texts to measure word similarity in the past.  For the most part it was successful because the texts which were being analyzed had a higher frequency of return regarding word similarity due to their length.  On the other hand, shorter texts were harder to analyze in this way because there were a limited number of words to work with, ultimately meaning a smaller […]