Author:
Cheng Pengxiang,Erk Katrin
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.
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Cited by
2 articles.
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1. Text-based NP Enrichment;Transactions of the Association for Computational Linguistics;2022
2. Japanese Predicate Argument Structure Analysis with Pointer Networks;Communications in Computer and Information Science;2020