Team Taurus at SemEval-2019 Task 9: Expert-informed pattern recognition for suggestion mining

Nelleke Oostdijk, Hans van Halteren


Abstract
This paper presents our submissions to SemEval-2019 Task9, Suggestion Mining. Our system is one in a series of systems in which we compare an approach using expert-defined rules with a comparable one using machine learning. We target tasks with a syntactic or semantic component that might be better described by a human understanding the task than by a machine learner only able to count features. For Semeval-2019 Task 9, the expert rules clearly outperformed our machine learning model when training and testing on equally balanced testsets.
Anthology ID:
S19-2219
Volume:
Proceedings of the 13th International Workshop on Semantic Evaluation
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota, USA
Venue:
*SEMEVAL
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1247–1253
Language:
URL:
https://www.aclweb.org/anthology/S19-2219
DOI:
10.18653/v1/S19-2219
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PDF:
http://aclanthology.lst.uni-saarland.de/S19-2219.pdf