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        <title>Feature Selection as Causal Inference: Experiments with Text Classification</title>
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            <title>Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)</title>
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            <namePart type="given">Roger</namePart>
            <namePart type="family">Levy</namePart>
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            <namePart type="given">Lucia</namePart>
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    <abstract>This paper proposes a matching technique for learning causal associations between word features and class labels in document classification. The goal is to identify more meaningful and generalizable features than with only correlational approaches. Experiments with sentiment classification show that the proposed method identifies interpretable word associations with sentiment and improves classification performance in a majority of cases. The proposed feature selection method is particularly effective when applied to out-of-domain data.</abstract>
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    <identifier type="doi">10.18653/v1/K17-1018</identifier>
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%0 Conference Proceedings
%T Feature Selection as Causal Inference: Experiments with Text Classification
%A Paul, Michael J.
%Y Levy, Roger
%Y Specia, Lucia
%S Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F paul-2017-feature
%X This paper proposes a matching technique for learning causal associations between word features and class labels in document classification. The goal is to identify more meaningful and generalizable features than with only correlational approaches. Experiments with sentiment classification show that the proposed method identifies interpretable word associations with sentiment and improves classification performance in a majority of cases. The proposed feature selection method is particularly effective when applied to out-of-domain data.
%R 10.18653/v1/K17-1018
%U https://aclanthology.org/K17-1018
%U https://doi.org/10.18653/v1/K17-1018
%P 163-172

Markdown (Informal)

[Feature Selection as Causal Inference: Experiments with Text Classification](https://aclanthology.org/K17-1018) (Paul, CoNLL 2017)

• Feature Selection as Causal Inference: Experiments with Text Classification (Paul, CoNLL 2017)

ACL

• Michael J. Paul. 2017. Feature Selection as Causal Inference: Experiments with Text Classification. In Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), pages 163–172, Vancouver, Canada. Association for Computational Linguistics.