Integration of World Knowledge for Natural Language Understanding

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 i...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ovchinnikova, Ekaterina (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Paris : Atlantis Press : Imprint: Atlantis Press, 2012.
Edición:1st ed. 2012.
Colección:Atlantis Thinking Machines, 3
Temas:
Natural language processing (Computer science).
Artificial intelligence.
Machine theory.
Natural Language Processing (NLP).
Artificial Intelligence.
Formal Languages and Automata Theory.
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-94-91216-53-4
003 DE-He213
005 20220115013901.0
007 cr nn 008mamaa
008 120215s2012 fr | s |||| 0|eng d
020 |a 9789491216534  |9 978-94-91216-53-4 
024 7 |a 10.2991/978-94-91216-53-4  |2 doi 
050 4 |a QA76.9.N38 
072 7 |a UYQL  |2 bicssc 
072 7 |a COM073000  |2 bisacsh 
072 7 |a UYQL  |2 thema 
082 0 4 |a 006.35  |2 23 
100 1 |a Ovchinnikova, Ekaterina.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Integration of World Knowledge for Natural Language Understanding  |h [electronic resource] /  |c by Ekaterina Ovchinnikova. 
250 |a 1st ed. 2012. 
264 1 |a Paris :  |b Atlantis Press :  |b Imprint: Atlantis Press,  |c 2012. 
300 |a XVII, 242 p. 16 illus., 2 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Atlantis Thinking Machines,  |x 1877-3281 ;  |v 3 
505 0 |a 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. 
520 |a 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. 
650 0 |a Natural language processing (Computer science). 
650 0 |a Artificial intelligence. 
650 0 |a Machine theory. 
650 1 4 |a Natural Language Processing (NLP). 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Formal Languages and Automata Theory. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9789462390393 
776 0 8 |i Printed edition:  |z 9789491216527 
776 0 8 |i Printed edition:  |z 9789491216541 
830 0 |a Atlantis Thinking Machines,  |x 1877-3281 ;  |v 3 
856 4 0 |u https://doi.uam.elogim.com/10.2991/978-94-91216-53-4  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

Ejemplares similares