Ben Zhou

Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts

2022 · arXiv (Cornell University)

Explicit decomposition modeling, which involves breaking down complex tasks into more straightforward and often more interpretable sub-tasks, has long been a central theme in developing robust and interpretable NLU systems. However, despite the many datasets …

Generic Temporal Reasoning with Differential Analysis and Explanation

2022 · arXiv (Cornell University)

Temporal reasoning is the task of predicting temporal relations of event pairs. While temporal reasoning models can perform reasonably well on in-domain benchmarks, we have little idea of these systems' generalizability due to existing datasets' …

Generic Temporal Reasoning with Differential Analysis and Explanation

2023

Temporal reasoning is the task of predicting temporal relations of event pairs. While temporal reasoning models can perform reasonably well on in-domain benchmarks, we have little idea of these systems’ generalizability due to existing datasets’ …

Temporal Common Sense Acquisition with Minimal Supervision

2020

Temporal common sense (e.g., duration and frequency of events) is crucial for understanding natural language. However, its acquisition is challenging, partly because such information is often not expressed explicitly in text, and human annotation on …