Temporal Reasoning in Natural Language Inference
Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White · 2020
We introduce five new natural language inference (NLI) datasets focused on temporal reasoning.We recast four existing datasets annotated for event duration-how long an event lasts-and event ordering-how events are temporally arranged-into more than one million NLI examples.We use these datasets to investigate how well neural models trained on a popular NLI corpus capture these forms of temporal reasoning.