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.
Cite
CITATION STYLE
Oostdijk, N., & van Halteren, H. (2019). Team Taurus at SemEval-2019 task 9: Expert-informed pattern recognition for suggestion mining. In NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop (pp. 1247–1253). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s19-2219
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