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        <title>Improving Topic Quality by Promoting Named Entities in Topic Modeling</title>
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        <namePart type="given">Katsiaryna</namePart>
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        <name type="personal">
            <namePart type="given">Yusuke</namePart>
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    <abstract>News related content has been extensively studied in both topic modeling research and named entity recognition. However, expressive power of named entities and their potential for improving the quality of discovered topics has not received much attention. In this paper we use named entities as domain-specific terms for news-centric content and present a new weighting model for Latent Dirichlet Allocation. Our experimental results indicate that involving more named entities in topic descriptors positively influences the overall quality of topics, improving their interpretability, specificity and diversity.</abstract>
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    <identifier type="doi">10.18653/v1/P18-2040</identifier>
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%0 Conference Proceedings
%T Improving Topic Quality by Promoting Named Entities in Topic Modeling
%A Krasnashchok, Katsiaryna
%A Jouili, Salim
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F krasnashchok-jouili-2018-improving
%X News related content has been extensively studied in both topic modeling research and named entity recognition. However, expressive power of named entities and their potential for improving the quality of discovered topics has not received much attention. In this paper we use named entities as domain-specific terms for news-centric content and present a new weighting model for Latent Dirichlet Allocation. Our experimental results indicate that involving more named entities in topic descriptors positively influences the overall quality of topics, improving their interpretability, specificity and diversity.
%R 10.18653/v1/P18-2040
%U https://aclanthology.org/P18-2040
%U https://doi.org/10.18653/v1/P18-2040
%P 247-253

Markdown (Informal)

[Improving Topic Quality by Promoting Named Entities in Topic Modeling](https://aclanthology.org/P18-2040) (Krasnashchok & Jouili, ACL 2018)

• Improving Topic Quality by Promoting Named Entities in Topic Modeling (Krasnashchok & Jouili, ACL 2018)

ACL

• Katsiaryna Krasnashchok and Salim Jouili. 2018. Improving Topic Quality by Promoting Named Entities in Topic Modeling. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 247–253, Melbourne, Australia. Association for Computational Linguistics.