Reversing uncertainty sampling to improve active learning schemes

Reversing uncertainty sampling to improve active learning schemes

Ponencia presentada en el 16º Simposio Argentino de Inteligencia Artificial. 44 Jornadas Argentinas de Informática. Rosario, Argentina, del 31 de agosto al 4 de septiembre de 2015.

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Main Authors: Cardellino, Cristian Adrián, Teruel, Milagro, Alonso i Alemany, Laura
Format: Fil: Fil: Cardellino, Cristian Adrián. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. biblioteca
Language:eng
Published: 2015
Subjects:Natural language processing, Active learning,
Online Access:http://hdl.handle.net/11086/22140
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spelling dig-unc-ar-11086-221402023-08-31T13:16:28Z Reversing uncertainty sampling to improve active learning schemes Cardellino, Cristian Adrián Teruel, Milagro Alonso i Alemany, Laura Natural language processing Active learning Ponencia presentada en el 16º Simposio Argentino de Inteligencia Artificial. 44 Jornadas Argentinas de Informática. Rosario, Argentina, del 31 de agosto al 4 de septiembre de 2015. Fil: Fil: Cardellino, Cristian Adrián. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Fil: Teruel, Milagro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Fil: Alonso i Alemany, Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Active learning provides promising methods to optimize the cost of manually annotating a dataset. However, practitioners in many areas do not massively resort to such methods because they present technical difficulties and do not provide a guarantee of good performance, especially in skewed distributions with scarcely populated minority classes and an undefined, catch-all majority class, which are very common in human-related phenomena like natural language. In this paper we present a comparison of the simplest active learning technique, pool-based uncertainty sampling, and its opposite, which we call reversed uncertainty sampling. We show that both obtain results comparable to the random, arguing for a more insightful approach to active learning. http://44jaiio.sadio.org.ar/asai Fil: Cardellino, Cristian Adrián. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Teruel, Milagro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Alonso i Alemany, Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Ciencias de la Computación 2021-12-30T12:41:42Z 2021-12-30T12:41:42Z 2015 conferenceObject http://hdl.handle.net/11086/22140 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Electrónico y/o Digital ISSN: 2451-7585
institution UNC AR
collection DSpace
country Argentina
countrycode AR
component Bibliográfico
access En linea
databasecode dig-unc-ar
tag biblioteca
region America del Sur
libraryname Biblioteca 'Ing. Agrónomo Moisés Farber' de la Facultad de Ciencias Agropecuarias
language eng
topic Natural language processing
Active learning
Natural language processing
Active learning
spellingShingle Natural language processing
Active learning
Natural language processing
Active learning
Cardellino, Cristian Adrián
Teruel, Milagro
Alonso i Alemany, Laura
Reversing uncertainty sampling to improve active learning schemes
description Ponencia presentada en el 16º Simposio Argentino de Inteligencia Artificial. 44 Jornadas Argentinas de Informática. Rosario, Argentina, del 31 de agosto al 4 de septiembre de 2015.
format Fil: Fil: Cardellino, Cristian Adrián. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
topic_facet Natural language processing
Active learning
author Cardellino, Cristian Adrián
Teruel, Milagro
Alonso i Alemany, Laura
author_facet Cardellino, Cristian Adrián
Teruel, Milagro
Alonso i Alemany, Laura
author_sort Cardellino, Cristian Adrián
title Reversing uncertainty sampling to improve active learning schemes
title_short Reversing uncertainty sampling to improve active learning schemes
title_full Reversing uncertainty sampling to improve active learning schemes
title_fullStr Reversing uncertainty sampling to improve active learning schemes
title_full_unstemmed Reversing uncertainty sampling to improve active learning schemes
title_sort reversing uncertainty sampling to improve active learning schemes
publishDate 2015
url http://hdl.handle.net/11086/22140
work_keys_str_mv AT cardellinocristianadrian reversinguncertaintysamplingtoimproveactivelearningschemes
AT teruelmilagro reversinguncertaintysamplingtoimproveactivelearningschemes
AT alonsoialemanylaura reversinguncertaintysamplingtoimproveactivelearningschemes
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