Implicit Argument Prediction as Reading Comprehension

November 08, 2018 ยท Declared Dead ยท ๐Ÿ› AAAI Conference on Artificial Intelligence

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Authors Pengxiang Cheng, Katrin Erk arXiv ID 1811.03554 Category cs.CL: Computation & Language Citations 9 Venue AAAI Conference on Artificial Intelligence Last Checked 5 months ago
Abstract
Implicit arguments, which cannot be detected solely through syntactic cues, make it harder to extract predicate-argument tuples. We present a new model for implicit argument prediction that draws on reading comprehension, casting the predicate-argument tuple with the missing argument as a query. We also draw on pointer networks and multi-hop computation. Our model shows good performance on an argument cloze task as well as on a nominal implicit argument prediction task.
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