On Mining Conditions using Encoder-decoder Networks

Fernando Gallego, Rafael Corchuelo

2019

Abstract

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.

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Paper Citation


in Harvard Style

Gallego F. and Corchuelo R. (2019). On Mining Conditions using Encoder-decoder Networks.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-350-6, pages 624-630. DOI: 10.5220/0007379506240630


in Bibtex Style

@conference{icaart19,
author={Fernando Gallego and Rafael Corchuelo},
title={On Mining Conditions using Encoder-decoder Networks},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2019},
pages={624-630},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007379506240630},
isbn={978-989-758-350-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - On Mining Conditions using Encoder-decoder Networks
SN - 978-989-758-350-6
AU - Gallego F.
AU - Corchuelo R.
PY - 2019
SP - 624
EP - 630
DO - 10.5220/0007379506240630