Demo Application for the AutoGOAL Framework

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Title: Demo Application for the AutoGOAL Framework
Authors: Estévez-Velarde, Suilan | Piad-Morffis, Alejandro | Gutiérrez, Yoan | Montoyo, Andres | Muñoz, Rafael | Almeida-Cruz, Yudivian
Research Group/s: Procesamiento del Lenguaje y Sistemas de Información (GPLSI)
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: AutoGOAL framework | Machine learning | Natural Language Processing
Knowledge Area: Lenguajes y Sistemas Informáticos
Issue Date: Dec-2020
Publisher: Association for Computational Linguistics
Citation: Estevez-Velarde, Suilan, et al. “Demo Application for the AutoGOAL Framework”. In: COLING 2020, The 27th International Conference on Computational Linguistics: Proceedings of System Demonstrations, December 8-13, 2020 Barcelona, Spain (Online), ISBN 978-1-952148-28-6, pp. 18-22
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.
Sponsor: 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).
URI: http://hdl.handle.net/10045/110741
ISBN: 978-1-952148-28-6
Language: eng
Type: info:eu-repo/semantics/conferenceObject
Rights: This work is licensed under a Creative Commons Attribution 4.0 International License. License details: http://creativecommons.org/licenses/by/4.0/.
Peer Review: si
Publisher version: https//www.aclweb.org/anthology/2020.coling-demos.4.pdf
Appears in Collections:INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc.

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