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Demo Application for the AutoGOAL Framework
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Abstract:
This paper introduces a web demo that showcases the main characteristics of the AutoGOAL framework. AutoGOAL is a framework in Python for automatically finding the best way to solve a given task. It has been designed mainly for automatic machine learning (AutoML) but it can be used in any scenario where several possible strategies are available to solve a given computational task. In contrast with alternative frameworks, AutoGOAL can be applied seamlessly to Natural Language Processing as well as structured classification problems. This paper presents an overview of the framework’s design and experimental evaluation in several machine learning problems, including two recent NLP challenges. The accompanying software demo is available online and full source code is provided under the MIT open-source license. ; This research has been supported by a Carolina Foundation grant in agreement with University of Alicante and University of Havana. Moreover, it has also been partially funded by both aforementioned universities, the Generalitat Valenciana (Conselleria d’Educaci´o, Investigaci´o, Cultura i Esport) and the Spanish Government through the projects LIVING-LANG (RTI2018-094653-B-C22) and SIIA (PROMETEO/2018/089, PROMETEU/2018/089).
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Keyword:
AutoGOAL framework; Lenguajes y Sistemas Informáticos; Machine learning; Natural Language Processing
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URL: http://hdl.handle.net/10045/110741
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Automatic Discovery of Heterogeneous Machine Learning Pipelines: An Application to Natural Language Processing
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REDES: Reconocimiento de Entidades Digitales: Enriquecimiento y Seguimiento mediante Tecnologías del Lenguaje ; REDES: Digital Entities Recognition: Enrichment and Tracking by Language Technologies
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Natural Language Processing and Information Systems : 16th International Conference on Applications of Natural Language to Information Systems, NLDB 2011, Alicante, Spain, June 28-30, 2011, Proceedings
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UB Frankfurt Linguistik
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EmotiBlog: a finer-grained and more precise learning of subjectivity expression models
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Going beyond traditional QA systems: challenges and keys in opinion question answering
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Opinion and generic question answering systems: a performance analysis
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Challenges to Evaluation of Multilingual Geographic Information Retrieval in GeoCLEF
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Natural Language Processing and Information Systems : 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005, Alicante, Spain, June 15-17, Proceedings
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UB Frankfurt Linguistik
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Colaboración entre información paradigmática y sintagmática en la desambiguación semántica automática
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Método de desambiguación léxica basada en el recurso léxico : dominios relevantes
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Colaboración entre información paradigmática y sintagmática en la Desambiguación Semántica Automática
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