Cargando…
Entropy Guided Transformation Learning: Algorithms and Applications
Entropy Guided Transformation Learning: Algorithms and Applications (ETL) presents a machine learning algorithm for classification tasks. ETL generalizes Transformation Based Learning (TBL) by solving the TBL bottleneck: the construction of good template sets. ETL automatically generates templates u...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2012.
|
| Edición: | 1st ed. 2012. |
| Colección: | SpringerBriefs in Computer Science,
|
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4471-2978-3 | ||
| 003 | DE-He213 | ||
| 005 | 20220115032543.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120314s2012 xxk| s |||| 0|eng d | ||
| 020 | |a 9781447129783 |9 978-1-4471-2978-3 | ||
| 024 | 7 | |a 10.1007/978-1-4471-2978-3 |2 doi | |
| 050 | 4 | |a Q337.5 | |
| 050 | 4 | |a TK7882.P3 | |
| 072 | 7 | |a UYQP |2 bicssc | |
| 072 | 7 | |a COM016000 |2 bisacsh | |
| 072 | 7 | |a UYQP |2 thema | |
| 082 | 0 | 4 | |a 006.4 |2 23 |
| 100 | 1 | |a dos Santos, Cícero Nogueira. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Entropy Guided Transformation Learning: Algorithms and Applications |h [electronic resource] / |c by Cícero Nogueira dos Santos, Ruy Luiz Milidiú. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2012. | |
| 300 | |a XIII, 78 p. 10 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 SpringerBriefs in Computer Science, |x 2191-5776 | |
| 505 | 0 | |a Preface -- Acknowledgements -- Acronyms -- Part I Entropy Guided Transformation Learning: Algorithms -- Introduction -- Entropy Guided Transformation Learning -- ETL Committee -- Part II Entropy Guided Transformation Learning: Applications -- General ETL Modeling for NLP Tasks -- Part-of-Speech Tagging -- Phrase Chunking -- Named Entity Recognition -- Semantic Role Labeling -- Conclusions -- Appendices. | |
| 520 | |a Entropy Guided Transformation Learning: Algorithms and Applications (ETL) presents a machine learning algorithm for classification tasks. ETL generalizes Transformation Based Learning (TBL) by solving the TBL bottleneck: the construction of good template sets. ETL automatically generates templates using Decision Tree decomposition. The authors describe ETL Committee, an ensemble method that uses ETL as the base learner. Experimental results show that ETL Committee improves the effectiveness of ETL classifiers. The application of ETL is presented to four Natural Language Processing (NLP) tasks: part-of-speech tagging, phrase chunking, named entity recognition and semantic role labeling. Extensive experimental results demonstrate that ETL is an effective way to learn accurate transformation rules, and shows better results than TBL with handcrafted templates for the four tasks. By avoiding the use of handcrafted templates, ETL enables the use of transformation rules to a greater range of tasks. Suitable for both advanced undergraduate and graduate courses, Entropy Guided Transformation Learning: Algorithms and Applications provides a comprehensive introduction to ETL and its NLP applications. | ||
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Natural language processing (Computer science). | |
| 650 | 0 | |a Computational linguistics. | |
| 650 | 1 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Natural Language Processing (NLP). |
| 650 | 2 | 4 | |a Computational Linguistics. |
| 700 | 1 | |a Milidiú, Ruy Luiz. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781447129776 |
| 776 | 0 | 8 | |i Printed edition: |z 9781447129790 |
| 830 | 0 | |a SpringerBriefs in Computer Science, |x 2191-5776 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4471-2978-3 |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) | ||