_sherliic-a-typed-event-focused-lexical-inference-benchmark-for-evaluating-natural-language-inference.jpg "SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference from vector in c language Video Screenshot Preview")
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⏲ Duration: 13 min 33 sec
✓ Published: 13-Jan-2020
✓ Published: 13-Jan-2020
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Authors: Martin Schmitt, Hinrich SchützennWe present SherLIiC, a testbed for lexical inference in context (LIiC), consisting of 3985 manually annotated inference rule candidates (InfCands), accompanied by (i) ~960k unlabeled InfCands, and (ii) ~190k typed textual relations between Freebase entities extracted from the large entity-linked corpus ClueWeb09. Each InfCand consists of one of these relations, expressed as a lemmatized dependency path, and two argument placeholders, each linked to one
Authors: Martin Schmitt, Hinrich SchützennWe present SherLIiC, a testbed for lexical inference in context (LIiC), consisting of 3985 manually annotated inference rule candidates (InfCands), accompanied by (i) ~960k unlabeled InfCands, and (ii) ~190k typed textual relations between Freebase entities extracted from the large entity-linked corpus ClueWeb09. Each InfCand consists of one of these relations, expressed as a lemmatized dependency path, and two argument placeholders, each linked to one
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