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• W3092019916 abstract "Natural language inference (NLI) is a well established part of natural language understanding (NLU). This task is usually stated as a 3-way classification of sentence pairs with respect to entailment relation (entailment, neutral, contradiction). In this work, we focus on a derived task of relation inference: we propose a method of transforming a general NLI corpus to an annotated corpus for relation inference that utilizes existing NLI annotations. We subsequently introduce a novel relation inference corpus obtained from a well known SNLI corpus and provide its brief characterization. We investigate several DNN siamese architectures for this task and this particular corresponding corpus. We set several baselines including hypothesis only baseline. Our best architecture achieved 96.92% accuracy." @default.
• W3092019916 created "2020-10-15" @default.
• W3092019916 creator A5031369136 @default.
• W3092019916 creator A5049065006 @default.
• W3092019916 date "2020-09-26" @default.
• W3092019916 modified "2023-09-23" @default.
• W3092019916 title "Open IE-Triples Inference - Corpora Development and DNN Architectures" @default.
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• W3092019916 doi "https://doi.org/10.15439/2020f78" @default.
• W3092019916 hasPublicationYear "2020" @default.
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