Event2Mind: Commonsense Inference on Events, Intents, and Reactions

ACL 2018 Hannah RashkinMaarten SapEmily AllawayNoah A. SmithYejin Choi

We investigate a new commonsense inference task: given an event described in a short free-form text ("X drinks coffee in the morning"), a system reasons about the likely intents ("X wants to stay awake") and reactions ("X feels alert") of the event's participants. To support this study, we construct a new crowdsourced corpus of 25,000 event phrases covering a diverse range of everyday events and situations... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Common Sense Reasoning Event2Mind BiRNN 100d Dev 4.25 # 1
Common Sense Reasoning Event2Mind BiRNN 100d Test 4.22 # 1
Common Sense Reasoning Event2Mind ConvNet Dev 4.44 # 2
Common Sense Reasoning Event2Mind ConvNet Test 4.40 # 2