Výsledky vyhledávání - "Transformation based learning"

Autor: Marcus Uneson

Publikováno v: ACM Computing Surveys. 46:1-51

Transformation-based learning (TBL) is a machine learning method for, in particular, sequential classification, invented by Eric Brill [Brill 1993b, 1995a]. It is widely used within computational linguistics and natural language processing, but surpr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c88056c18542a4a22d853b47918f809
https://doi.org/10.1145/2534189

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The Application of Transformation-based Learning in the Development of a Named Entity Recognition System for Filipino Text

Autor: Jayvee Carlo A. Hermocilla, Carmina S. Yumul, Angelito G. Pastrana, John Lester L. Capcap, Ria A. Sagum, Quervin Lloyd L. Buco

Publikováno v: Journal of Industrial and Intelligent Information. 1:1-5

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::97b9bee982afd19616ed0ed53562b588
https://doi.org/10.12720/jiii.1.1.1-5

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Portuguese corpus-based learning using ETL

Autor: Cicero Nogueira dos Santos, Ruy Luiz Milidiú, Julio Cesar Duarte

Publikováno v: Journal of the Brazilian Computer Society v.14 n.4 2008
Journal of the Brazilian Computer Society
Sociedade Brasileira de Computação (SBC)
instacron:UFRGS
Journal of the Brazilian Computer Society, Volume: 14, Issue: 4, Pages: 17-27, Published: DEC 2008

We present Entropy Guided Transformation Learning models for three Portuguese Language Processing tasks: Part-of-Speech Tagging, Noun Phrase Chunking and Named Entity Recognition. For Part-of-Speech Tagging, we separately use the Mac-Morpho Corpus an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b368989ef89da66f16bfb7c661d1473
https://doi.org/10.1590/s0104-65002008000400003

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Evolutionary TBL template generation

Autor: Cicero Nogueira dos Santos, Ruy Luiz Milidiú, Julio Cesar Duarte

Publikováno v: Journal of the Brazilian Computer Society v.13 n.4 2007
Journal of the Brazilian Computer Society
Sociedade Brasileira de Computação (SBC)
instacron:UFRGS
Journal of the Brazilian Computer Society, Volume: 13, Issue: 4, Pages: 39-50, Published: DEC 2007

Transformation Based Learning (TBL) is a Machine Learning technique frequently used in some Natural Language Processing (NLP) tasks. TBL uses rule templates to identify error-correcting patterns. A critical requirement in TBL is the availability of a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c6ba6c179074c0aa517c7ee45e1a58d
https://doi.org/10.1590/s0104-65002007000400004

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Named entity recognition in Vietnamese using classifier voting

Autor: Nigel Collier, Pham Thi Xuan Thao, Dinh Dien, Tran Quoc Tri

Publikováno v: ACM Transactions on Asian Language Information Processing. 6:1-18

Named entity recognition (NER) is one of the fundamental tasks in natural-language processing (NLP). Though the combination of different classifiers has been widely applied in several well-studied languages, this is the first time this method has bee

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::106bbd4253199ed2d499b7d6de95d753
https://doi.org/10.1145/1316457.1316460

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A Robust Transformation-Based Learning Approach Using Ripple Down Rules for Part-of-Speech Tagging

Autor: Dat Quoc Nguyen, Dai Quoc Nguyen, Dang Duc Pham, Son Bao Pham

In this paper, we propose a new approach to construct a system of transformation rules for the Part-of-Speech (POS) tagging task. Our approach is based on an incremental knowledge acquisition method where rules are stored in an exception structure an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c769a357f8cc3f7c21750757ead4ed3a
http://arxiv.org/abs/1412.4021

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Randomized rule selection in transformation-based learning: a comparative study

Autor: Sandra Carberry, Ken Samuel, K. Vijay-Shanker, Andrew Wilson

Publikováno v: Natural Language Engineering. 7:99-116

Transformation-Based Learning (TBL) is a relatively new machine learning method that has achieved notable success on language problems. This paper presents a variant of TBL, called Randomized TBL, that overcomes the training time problems of standard

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d6b3ad44edcfc382c7e0ebd527ffd424
https://doi.org/10.1017/s1351324901002662

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POS Tagging of Assamese Language and Performance Analysis of CRF++ and fnTBL Approaches

Autor: Anup Kumar Barman, Shikhar Kumar Sarma, Jumi Sarmah

Publikováno v: UKSim

Assamese is one of the regional languages of India spoken by the people of Assam and other north eastern states of India. Parts Of Speech (POS) tagging is one of the most important research issue as it is the basic need for any Natural Language Proce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18bcbb6fa5f8f4ca19c33eae7f5ab2aa
https://doi.org/10.1109/uksim.2013.91

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