Semantic Matching from Different Perspectives

Abstract

In this paper, we pay attention to the issue which is usually overlooked, i.e., 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.

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Reproductions