Evaluating Machines by their Real-World Language Use

7 Apr 2020Rowan ZellersAri HoltzmanElizabeth ClarkLianhui QinAli FarhadiYejin Choi

There is a fundamental gap between how humans understand and use language -- in open-ended, real-world situations -- and today's NLP benchmarks for language understanding. To narrow this gap, we propose to evaluate machines by their success at real-world language use -- which greatly expands the scope of language tasks that can be measured and studied... (read more)

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