Hypothesis Only Baselines in Natural Language Inference.
*SEM@NAACL-HLT(2018)
摘要
We propose a hypothesis only baseline for diagnosing Natural Language Inference (NLI). Especially when an NLI dataset assumes inference is occurring based purely on the relationship between a context and a hypothesis, it follows that assessing entailment relations while ignoring the provided context is a degenerate solution. Yet, through experiments on ten distinct NLI datasets, we find that this approach, which we refer to as a hypothesis-only model, is able to significantly outperform a majority class baseline across a number of NLI datasets. Our analysis suggests that statistical irregularities may allow a model to perform NLI in some datasets beyond what should be achievable without access to the context.
更多查看译文
关键词
natural language inference,baselines,hypothesis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络