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        <title>Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System</title>
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    <name type="personal">
        <namePart type="given">Rebekah</namePart>
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            <title>Proceedings of the 13th International Workshop on Semantic Evaluation</title>
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            <namePart type="given">Jonathan</namePart>
            <namePart type="family">May</namePart>
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    <abstract>This paper describes the approach of team Kit Kittredge to SemEval-2019 Task 4: Hyperpartisan News Detection. The goal was binary classification of news articles into the categories of “biased” or “unbiased”. We had two software submissions: one a simple bag-of-words model, and the second an LSTM (Long Short Term Memory) neural network, which was trained on a subset of the original dataset selected by a voting system of other LSTMs. This method did not prove much more successful than the baseline, however, due to the models’ tendency to learn publisher-specific traits instead of general bias.</abstract>
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%0 Conference Proceedings
%T Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System
%A Cramerus, Rebekah
%A Scheffler, Tatjana
%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 cramerus-scheffler-2019-team
%X This paper describes the approach of team Kit Kittredge to SemEval-2019 Task 4: Hyperpartisan News Detection. The goal was binary classification of news articles into the categories of “biased” or “unbiased”. We had two software submissions: one a simple bag-of-words model, and the second an LSTM (Long Short Term Memory) neural network, which was trained on a subset of the original dataset selected by a voting system of other LSTMs. This method did not prove much more successful than the baseline, however, due to the models’ tendency to learn publisher-specific traits instead of general bias.
%R 10.18653/v1/S19-2178
%U https://aclanthology.org/S19-2178
%U https://doi.org/10.18653/v1/S19-2178
%P 1021-1025

Markdown (Informal)

[Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System](https://aclanthology.org/S19-2178) (Cramerus & Scheffler, SemEval 2019)

• Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System (Cramerus & Scheffler, SemEval 2019)

ACL

• Rebekah Cramerus and Tatjana Scheffler. 2019. Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 1021–1025, Minneapolis, Minnesota, USA. Association for Computational Linguistics.