Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Oktober 2025
Genre:	EDV / Informatik
	angewandte informatik / Computational Linguistics / Computer and Information Systems Applications / Computerlinguistik und Korpuslinguistik / Downstream Applications / Human Language Technology / Künstliche Intelligenz / machine learning / Maschinelles Lernen / Mensch-Computer-Interaktion / Multi-modal Problem Settings / Natural Language Processing / Natural Language Processing (NLP) / Robotics / Robotik / Spatial Concepts / Spatial Information Extraction / Spatial Language / Spatial representations / User Interfaces and Human Computer Interaction / Voice Control of Robot Movement mehr...
ISBN:	9783031995934
EAN-Code:	9783031995934
Verlag:	Springer International Publishing
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 240 mm / B 168 mm / D
Seiten:	106
Illustration:	XV, 106 p. 22 illus., 19 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book provides an overview of multiple aspects of spatial language understanding and explores recent trends of modeling based on very large foundational models and their applications. The authors address the following five main themes: spatial semantic representations in both symbolic and sub-symbolic spaces; spatial information extraction computational models; reasoning over spatial language; commonsense spatial understanding; and multiple modern and state-of-the-art downstream applications of spatial language understanding including dialogue systems, narrative discourse, and grounding language in the physical world with the multi-modal problem settings. One of the essential functions of natural language is to express spatial relationships between objects. Linguistic constructs can encode highly complex structures of objects, spatial relations between them, and patterns of motion through space relative to a reference point. The complexity of spatial language understanding and its importance in downstream tasks that involve grounding the language in the physical world has become evident and important to the natural language processing research community. In addition, this topic has recently attracted the attention of various sub-communities in the intersection of natural language, computer vision, and robotics.