  In this paper, we pay attention to the issue which is usually overlooked,
i.e., \textit{similarity should be determined from different perspectives}. To
explore this issue, we release a Multi-Perspective Text Similarity (MPTS)
dataset, in which sentence similarities are labeled from twelve perspectives.
Furthermore, we conduct a series of experimental analysis on this task by
retrofitting some famous text matching models. Finally, we obtain several
conclusions and baseline models, laying the foundation for the following
investigation of this issue. The dataset and code are publicly available at
Github\footnote{\url{https://github.com/autoliuweijie/MPTS}
