Measuring semantic similarity within sentences

Sentence similarity measures have taken an increasingly important role in a variety of applications of text knowledge presentation and discovery. Current methods utilize only semantic or syntactic information. We propose a novel method to calculate sentence similarity, which takes into account both semantic information and word order. The experimental results show that our method outperforms existing methods.