Sentence Generation Reflecting Personality Traits

Abstract

Dialogue systems have a problem of lack and inconsistency of characteristics or personality. This paper describesa text replacing method by subwords using BERT’s masked token prediction with transfer learning. As a result,we found that SentencePiece method without morphological analysis replaces tokens more fluent than the methodof Byte Pair Encoding after morphological analysis. And also, on conscientiousness and neuroticism factors ofBig Five, SentencePiece shows that transfer learning with individual tweets of research participants can reflect thepersonality of the writer.