Combining semi-supervised and active learning to recognize minority senses in a new corpus
Ponencia presentada en la 24th International Joint Conference on Artificial Intelligence. Workshop on Replicability and Reproducibility in Natural Language Processing: adaptive methods, resources and software. Buenos Aires, Argentina, del 25 al 31 de julio de 2015.
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| Format: | conferenceObject |
| Language: | eng |
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2021
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| Online Access: | http://hdl.handle.net/11086/22132 |
| _version_ | 1801216354484748288 |
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| 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 |
| collection | Repositorio Digital Universitario |
| description | Ponencia presentada en la 24th International Joint Conference on Artificial Intelligence. Workshop on Replicability and Reproducibility in Natural Language Processing: adaptive methods, resources and software. Buenos Aires, Argentina, del 25 al 31 de julio de 2015. |
| format | conferenceObject |
| id | rdu-unc.22132 |
| institution | Universidad Nacional de Cordoba |
| language | eng |
| publishDate | 2021 |
| record_format | dspace |
| spelling | rdu-unc.221322022-10-13T11:05:55Z Combining semi-supervised and active learning to recognize minority senses in a new corpus Cardellino, Cristian Adrián Teruel, Milagro Alonso i Alemany, Laura Natural language processing Active learning Semi-supervised learning Ponencia presentada en la 24th International Joint Conference on Artificial Intelligence. Workshop on Replicability and Reproducibility in Natural Language Processing: adaptive methods, resources and software. Buenos Aires, Argentina, del 25 al 31 de julio de 2015. 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. In this paper we study the impact of combining active learning with bootstrapping to grow a small annotated corpus from a different, unannotated corpus. The intuition underlying our approach is that bootstrapping includes instances that are closer to the generative centers of the data, while discriminative approaches to active learning include instances that are closer to the decision boundaries of classifiers. We build an initial model from the original annotated corpus, which is then iteratively enlarged by including both manually annotated examples and automatically labelled examples as training examples for the following iteration. Examples to be annotated are selected in each iteration by applying active learning techniques. We show that intertwining an active learning component in a bootstrapping approach helps to overcome an initial bias towards a majority class, thus facilitating adaptation of a starting dataset towards the real distribution of a different, unannotated corpus. 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. Otras Ciencias de la Computación e Información 2021-12-28T14:30:44Z 2021-12-28T14:30:44Z 2015 conferenceObject http://hdl.handle.net/11086/22132 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Electrónico y/o Digital |
| spellingShingle | Natural language processing Active learning Semi-supervised learning Cardellino, Cristian Adrián Teruel, Milagro Alonso i Alemany, Laura Combining semi-supervised and active learning to recognize minority senses in a new corpus |
| title | Combining semi-supervised and active learning to recognize minority senses in a new corpus |
| title_full | Combining semi-supervised and active learning to recognize minority senses in a new corpus |
| title_fullStr | Combining semi-supervised and active learning to recognize minority senses in a new corpus |
| title_full_unstemmed | Combining semi-supervised and active learning to recognize minority senses in a new corpus |
| title_short | Combining semi-supervised and active learning to recognize minority senses in a new corpus |
| title_sort | combining semi supervised and active learning to recognize minority senses in a new corpus |
| topic | Natural language processing Active learning Semi-supervised learning |
| url | http://hdl.handle.net/11086/22132 |
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