Event2Mind: Commonsense Inference on Events, Intents, and Reactions
Event2Mind: Commonsense Inference on Events, Intents, and Reactions
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DOI：
10.18653/v1/p18-1043
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发表时间：
2018-05
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通讯作者：
Hannah Rashkin;Maarten Sap;Emily Allaway;Noah A. Smith;Yejin Choi
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作者：
Hannah Rashkin;Maarten Sap;Emily Allaway;Noah A. Smith;Yejin Choi
我们研究了一个新的常识推理任务：给定一个在简短的自由文本中描述的事件（“X早上喝咖啡”），系统对事件参与者的可能意图（“X想保持清醒”）和反应（“X感觉警觉”）进行推理。为了支持这项研究，我们构建了一个新的25,000个事件短语的众包语料库，涵盖了各种日常事件和情况。我们报告了该任务的基线性能，证明神经编码器-解码器模型可以成功地构建以前未见过的事件的嵌入表示，并推理事件参与者的可能意图和反应。此外，我们展示了如何常识推断人们的意图和反应，可以帮助揭示现代电影剧本中普遍存在的隐性性别不平等。
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. We report baseline performance on this task, demonstrating that neural encoder-decoder models can successfully compose embedding representations of previously unseen events and reason about the likely intents and reactions of the event participants. In addition, we demonstrate how commonsense inference on people’s intents and reactions can help unveil the implicit gender inequality prevalent in modern movie scripts.