13 citations · 47 across the 19 of their papers we have counts for
4 papers · 1 filter
Learning Contextual Causality from Time-consecutive Images
Hongming Zhang, Yintong Huo, Xinran Zhao +2
Causality knowledge is crucial for many artificial intelligence systems. Conventional textual-based causality knowledge acquisition methods typically require laborious and expensiv…
WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge
Hongming Zhang, Xinran Zhao, Yangqiu Song
In this paper, we present the first comprehensive categorization of essential commonsense knowledge for answering the Winograd Schema Challenge (WSC). For each of the questions, we…
TransOMCS: From Linguistic Graphs to Commonsense Knowledge
Hongming Zhang, Daniel Khashabi, Yangqiu Song +1
Commonsense knowledge acquisition is a key problem for artificial intelligence. Conventional methods of acquiring commonsense knowledge generally require laborious and costly human…
ASER: A Large-scale Eventuality Knowledge Graph
Hongming Zhang, Xin Liu, Haojie Pan +2
Understanding human's language requires complex world knowledge. However, existing large-scale knowledge graphs mainly focus on knowledge about entities while ignoring knowledge ab…