PaRTE
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://doi.org/10.7910/DVN/HLMI23
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资源简介：
We present a test set of 1,126 sentence pairs to evaluate whether Recognizing Textual Entailment (RTE) models are robust to paraphrasing. We posit that if RTE models understand language, their predictions should be consistent across inputs that share the same meaning. We develop an evaluation RTE set consisting of paraphrased examples that we use to determine if models' predictions change when examples are paraphrased.
创建时间：
2023-05-22
