Demo Application for the AutoGOAL Framework
| Autor: | Rafael Muñoz-Guillena, Andrés Montoyo, Alejandro Piad-Morffis, Yudivián Almeida Cruz, Yoan Gutiérrez, Suilan Estevez-Velarde |
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| Přispěvatelé: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos, Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
| Rok vydání: | 2020 |
| Předmět: |
Source code
Computer science business.industry Programming language media_common.quotation_subject 02 engineering and technology 010501 environmental sciences Python (programming language) computer.software_genre 01 natural sciences Software Machine learning Lenguajes y Sistemas Informáticos 0202 electrical engineering electronic engineering information engineering AutoGOAL framework 020201 artificial intelligence & image processing business computer License 0105 earth and related environmental sciences media_common computer.programming_language Natural Language Processing |
| Zdroj: | RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) COLING (Demonstrations) |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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