Transforming Question Answering Datasets Into Natural Language Inference Datasets
Dorottya Demszky Thanks: Equal contribution. Affiliation: Department of Linguistics Affiliation: Stanford University Email: Kelvin Guu††Affiliation: Department of Statistics Affiliation: Stanford University Email: Percy Liang Affiliation: Department of Computer Science Affiliation: Stanford University Email:
Abstract
Existing datasets for natural language inference (NLI) have propelled research on language understanding. We propose a new method for automatically deriving NLI datasets from the growing abundance of large-scale question answering datasets.
原文 arXiv:1809.02922;中英对照 + 大白话阅读 https://aha.fim.ai/paper/1809.02922v2