To apply eyeshadow without a brush, should I use a cotton swab or a toothpick? Questions
requiring this kind of physical commonsense pose a challenge to today's natural language …

Language understanding research is held back by a failure to relate language to the
physical world it describes and to the social interactions it facilitates. Despite the incredible …

Recent success of pre-trained language models (LMs) has spurred widespread interest in
the language capabilities that they possess. However, efforts to understand whether LM …

NLP systems rarely give special consideration to numbers found in text. This starkly
contrasts with the consensus in neuroscience that, in the brain, numbers are represented …

Recent works show that pre-trained language models (PTLMs), such as BERT, possess
certain commonsense and factual knowledge. They suggest that it is promising to use …

Spatial commonsense, the knowledge about spatial position and relationship between
objects (like the relative size of a lion and a girl, and the position of a boy relative to a bicycle …

Pretrained Language Models (LMs) have been shown to possess significant linguistic,
common sense, and factual knowledge. One form of knowledge that has not been studied …

Temporal common sense (eg, duration and frequency of events) is crucial for understanding
natural language. However, its acquisition is challenging, partly because such information is …

Commonsense knowledge, such as knowing that “bumping into people annoys them” or
“rain makes the road slippery”, helps humans navigate everyday situations seamlessly. Yet …

Commonsense knowledge acquisition is a key problem for artificial intelligence.
Conventional methods of acquiring commonsense knowledge generally require laborious …