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        <title>Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models</title>
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        <namePart type="given">Silvia</namePart>
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        <namePart type="given">Debora</namePart>
        <namePart type="family">Nozza</namePart>
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    <name type="personal">
        <namePart type="given">Elisabetta</namePart>
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    <name type="personal">
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            <title>Proceedings of the First Workshop on Insights from Negative Results in NLP</title>
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            <namePart type="given">Anna</namePart>
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    <abstract>Topic models have been widely used to discover hidden topics in a collection of documents. In this paper, we propose to investigate the role of two different types of relational information, i.e. document relationships and concept relationships. While exploiting the document network significantly improves topic coherence, the introduction of concepts and their relationships does not influence the results both quantitatively and qualitatively.</abstract>
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    <identifier type="doi">10.18653/v1/2020.insights-1.5</identifier>
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%0 Conference Proceedings
%T Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models
%A Terragni, Silvia
%A Nozza, Debora
%A Fersini, Elisabetta
%A Enza, Messina
%Y Rogers, Anna
%Y Sedoc, João
%Y Rumshisky, Anna
%S Proceedings of the First Workshop on Insights from Negative Results in NLP
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F terragni-etal-2020-matters
%X Topic models have been widely used to discover hidden topics in a collection of documents. In this paper, we propose to investigate the role of two different types of relational information, i.e. document relationships and concept relationships. While exploiting the document network significantly improves topic coherence, the introduction of concepts and their relationships does not influence the results both quantitatively and qualitatively.
%R 10.18653/v1/2020.insights-1.5
%U https://aclanthology.org/2020.insights-1.5
%U https://doi.org/10.18653/v1/2020.insights-1.5
%P 32-40

Markdown (Informal)

[Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models](https://aclanthology.org/2020.insights-1.5) (Terragni et al., insights 2020)

• Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models (Terragni et al., insights 2020)

ACL

• Silvia Terragni, Debora Nozza, Elisabetta Fersini, and Messina Enza. 2020. Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models. In Proceedings of the First Workshop on Insights from Negative Results in NLP, pages 32–40, Online. Association for Computational Linguistics.