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OverviewThis Element covers the interaction of two research areas: linguistic semantics and deep learning. It focuses on three phenomena central to natural language interpretation: reasoning and inference; compositionality; extralinguistic grounding. Representation of these phenomena in recent neural models is discussed, along with the quality of these representations and ways to evaluate them (datasets, tests, measures). The Element closes with suggestions on possible deeper interactions between theoretical semantics and language technology based on deep learning models. Full Product DetailsAuthor: Lasha Abzianidze (Utrecht University) , Lisa Bylinina (Utrecht University) , Denis Paperno (Utrecht University)Publisher: Cambridge University Press Imprint: Cambridge University Press Weight: 0.271kg ISBN: 9781009542395ISBN 10: 1009542397 Pages: 90 Publication Date: 16 January 2025 Audience: College/higher education , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introduction; 2. Textual Inference; 3. Compositionality; 4. Grounding: Language and Vision; 5. Conclusions, open problems and further directions; References.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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