arXiv · 2110.01113
Probing Language Models for Understanding of Temporal Expressions
Abstract
We present three Natural Language Inference (NLI) challenge sets that can evaluate NLI models on their understanding of temporal expressions. More specifically, we probe these models for three temporal properties: (a) the order between points in time, (b) the duration between two points in time, (c) the relation between the magnitude of times specified in different units. We find that although large language models fine-tuned on MNLI have some basic perception of the order between points in time, at large, these models do not have a thorough understanding of the relation between temporal expressions.
Explore related subjects
Keep this discovery
Shivin Thukral, Kunal Kukreja, Christian Kavouras. 2021-10-03. Probing Language Models for Understanding of Temporal Expressions. https://arxiv.org/abs/2110.01113
Cite the original work for its findings. Save a collection to share your selection of sources.