Stanford Natural Language Inference corpus
PulseAugur coverage of Stanford Natural Language Inference corpus — every cluster mentioning Stanford Natural Language Inference corpus across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Formal semantic structure explains minimal human label variation in NLI tasks
A new research paper explores the extent to which formal semantic structure explains human label variation in natural language inference (NLI) tasks. The study analyzed items from the SNLI and MNLI corpora, finding that…
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New research finds temperature scaling fails on soft labels
A new research paper challenges the effectiveness of temperature scaling for model calibration, particularly when dealing with soft or distributional human labels. The study found that temperature scaling, which assumes…
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New audit protocol tests NLP benchmarks for evidence dependence
Researchers have developed a new auditing protocol for weak-label benchmarks in natural language processing. This protocol distinguishes between outputs predictable from metadata alone and those genuinely dependent on t…