@inproceedings{oostdijk-van-halteren-2019-team,
title = "Team {T}aurus at {S}em{E}val-2019 Task 9: Expert-informed pattern recognition for suggestion mining",
author = "Oostdijk, Nelleke and
van Halteren, Hans",
editor = "May, Jonathan and
Shutova, Ekaterina and
Herbelot, Aurelie and
Zhu, Xiaodan and
Apidianaki, Marianna and
Mohammad, Saif M.",
booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S19-2219/",
doi = "10.18653/v1/S19-2219",
pages = "1247--1253",
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."
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%0 Conference Proceedings
%T Team Taurus at SemEval-2019 Task 9: Expert-informed pattern recognition for suggestion mining
%A Oostdijk, Nelleke
%A van Halteren, Hans
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%S Proceedings of the 13th International Workshop on Semantic Evaluation
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F oostdijk-van-halteren-2019-team
%X 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.
%R 10.18653/v1/S19-2219
%U https://aclanthology.org/S19-2219/
%U https://doi.org/10.18653/v1/S19-2219
%P 1247-1253
Markdown (Informal)
[Team Taurus at SemEval-2019 Task 9: Expert-informed pattern recognition for suggestion mining](https://aclanthology.org/S19-2219/) (Oostdijk & van Halteren, SemEval 2019)
ACL