Ponencia
On Mining Conditions using Encoder-decoder Networks
Autor/es | Ortega Gallego, Fernando
Corchuelo Gil, Rafael |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2019 |
Fecha de depósito | 2023-03-28 |
Publicado en |
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ISBN/ISSN | 978-989-758-350-6 2184-433X |
Resumen | A condition is a constraint that determines when something holds. Mining them is paramount to understanding many sentences properly. There are a few pattern-based approaches that fall short because the patterns must be ... A condition is a constraint that determines when something holds. Mining them is paramount to understanding many sentences properly. There are a few pattern-based approaches that fall short because the patterns must be handcrafted and it is not easy to characterise unusual ways to express conditions; there is one machine-learning approach that requires specific-purpose dictionaries, taxonomies, and heuristics, works on opinion sentences only, and was evaluated on a small dataset with Japanese sentences on hotels. In this paper, we present an encoder-decoder model to mine conditions that does not have any of the previous drawbacks and outperforms the state of the art in terms of effectiveness. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España |
Identificador del proyecto | TIN2013-40848-R |
Cita | Ortega Gallego, F. y Corchuelo Gil, R. (2019). On Mining Conditions using Encoder-decoder Networks. En 11th International Conference on Agents and Artificial Intelligence (ICAART 2019) (624-630), Praga (República Checa): SciTePress. |
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