ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions

2 May 2020Woojeong JinSuji KimXiang Ren

Textual data are often accompanied by time information (e.g., dates in news articles), but the information is easily overlooked on existing question answering datasets. In this paper, we introduce ForecastQA, a new open-domain question answering dataset consisting of 10k questions which requires temporal reasoning... (read more)

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