Buch, Englisch, Band 3, 242 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 559 g
Reihe: Atlantis Thinking Machines
Buch, Englisch, Band 3, 242 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 559 g
Reihe: Atlantis Thinking Machines
ISBN: 978-94-91216-52-7
Verlag: Atlantis Press
This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications.
First, an introduction to research areas relevant for NLU is given. We review approaches to linguistic meaning, explore knowledge resources, describe semantic parsers, and compare two main forms of inference: deduction and abduction.
In the main part of the book, we propose an integrative knowledge base combining lexical-semantic, ontological, and distributional knowledge. A particular attention is payed to ensuring its consistency. We then design a reasoning procedure able to make use of the large scale knowledge base. We experiment both with a deduction-based NLU system and with an abductive reasoner. For evaluation, we use three different NLU tasks: recognizing textual entailment, semantic role labeling, and interpretation of noun dependencies.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
- Geisteswissenschaften Sprachwissenschaft Computerlinguistik, Korpuslinguistik
Weitere Infos & Material
Preliminaries.- Natural Language Understanding and World Knowledge.- Sources of World Knowledge.- Reasoning for Natural Language Understanding.- Knowledge Base Construction.- Ensuring Consistency.- Abductive Reasoning with the Integrative Knowledge Base.- Evaluation.- Conclusion.
