Cargando…

Empirical Methods in Natural Language Generation Data-oriented Methods and Empirical Evaluation /

Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field ha...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Krahmer, Emiel (Editor ), Theune, Mariet (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Lecture Notes in Artificial Intelligence, 5790
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-642-15573-4
003 DE-He213
005 20221012194032.0
007 cr nn 008mamaa
008 100817s2010 gw | s |||| 0|eng d
020 |a 9783642155734  |9 978-3-642-15573-4 
024 7 |a 10.1007/978-3-642-15573-4  |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 
245 1 0 |a Empirical Methods in Natural Language Generation  |h [electronic resource] :  |b Data-oriented Methods and Empirical Evaluation /  |c edited by Emiel Krahmer, Mariet Theune. 
250 |a 1st ed. 2010. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2010. 
300 |a X, 353 p. 82 illus.  |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 Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 5790 
505 0 |a Text-to-Text Generation -- Probabilistic Approaches for Modeling Text Structure and Their Application to Text-to-Text Generation -- Spanning Tree Approaches for Statistical Sentence Generation -- On the Limits of Sentence Compression by Deletion -- NLG in Interaction -- Learning Adaptive Referring Expression Generation Policies for Spoken Dialogue Systems -- Modelling and Evaluation of Lexical and Syntactic Alignment with a Priming-Based Microplanner -- Natural Language Generation as Planning under Uncertainty for Spoken Dialogue Systems -- Referring Expression Generation -- Generating Approximate Geographic Descriptions -- A Flexible Approach to Class-Based Ordering of Prenominal Modifiers -- Attribute-Centric Referring Expression Generation -- Evaluation of NLG -- Assessing the Trade-Off between System Building Cost and Output Quality in Data-to-Text Generation -- Human Evaluation of a German Surface Realisation Ranker -- Structural Features for Predicting the Linguistic Quality of Text -- Towards Empirical Evaluation of Affective Tactical NLG -- Shared Task Challenges for NLG -- Introducing Shared Tasks to NLG: The TUNA Shared Task Evaluation Challenges -- Generating Referring Expressions in Context: The GREC Task Evaluation Challenges -- The First Challenge on Generating Instructions in Virtual Environments. 
520 |a Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research. 
650 0 |a Natural language processing (Computer science). 
650 0 |a Artificial intelligence. 
650 0 |a Information storage and retrieval systems. 
650 0 |a Application software. 
650 0 |a Database management. 
650 0 |a Data mining. 
650 1 4 |a Natural Language Processing (NLP). 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Information Storage and Retrieval. 
650 2 4 |a Computer and Information Systems Applications. 
650 2 4 |a Database Management. 
650 2 4 |a Data Mining and Knowledge Discovery. 
700 1 |a Krahmer, Emiel.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Theune, Mariet.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642155727 
776 0 8 |i Printed edition:  |z 9783642155741 
830 0 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 5790 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-642-15573-4  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
912 |a ZDB-2-LNC 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)