Semantic Matching from Different Perspectives
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Abstract (arXiv)
In this paper, we pay attention to the issue which is usually overlooked, i.e., textitsimilarity 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 Githubfootnoteurlhttps://github.com/autoliuweijie/MPTS
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 22 references that are in the map. First posted on arXiv 14 Feb 2022.
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References · 12
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- 2019Simple and Effective Text Matching with Richer Alignment Featurescited by 29
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