Semantics and deep learning /
This 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...
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge, United Kingdom ; New York, NY, USA :
Cambridge University Press,
2024.
|
| Series: | Cambridge elements. Elements in semantics.
|
| Subjects: |
| Summary: | This 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. |
|---|---|
| Physical Description: | 82 pages : illustrations ; 24 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781009542395 1009542397 9781009542364 1009542362 |