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.

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