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        <title>Evaluating a Topic Modelling Approach to Measuring Corpus Similarity</title>
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        <namePart type="given">Richard</namePart>
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    <name type="personal">
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            <title>Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)</title>
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    <abstract>Web corpora are often constructed automatically, and their contents are therefore often not well understood. One technique for assessing the composition of such a web corpus is to empirically measure its similarity to a reference corpus whose composition is known. In this paper we evaluate a number of measures of corpus similarity, including a method based on topic modelling which has not been previously evaluated for this task. To evaluate these methods we use known-similarity corpora that have been previously used for this purpose, as well as a number of newly-constructed known-similarity corpora targeting differences in genre, topic, time, and region. Our findings indicate that, overall, the topic modelling approach did not improve on a chi-square method that had previously been found to work well for measuring corpus similarity.</abstract>
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%0 Conference Proceedings
%T Evaluating a Topic Modelling Approach to Measuring Corpus Similarity
%A Fothergill, Richard
%A Cook, Paul
%A Baldwin, Timothy
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 may
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F fothergill-etal-2016-evaluating
%X Web corpora are often constructed automatically, and their contents are therefore often not well understood. One technique for assessing the composition of such a web corpus is to empirically measure its similarity to a reference corpus whose composition is known. In this paper we evaluate a number of measures of corpus similarity, including a method based on topic modelling which has not been previously evaluated for this task. To evaluate these methods we use known-similarity corpora that have been previously used for this purpose, as well as a number of newly-constructed known-similarity corpora targeting differences in genre, topic, time, and region. Our findings indicate that, overall, the topic modelling approach did not improve on a chi-square method that had previously been found to work well for measuring corpus similarity.
%U https://aclanthology.org/L16-1042
%P 273-279

Markdown (Informal)

[Evaluating a Topic Modelling Approach to Measuring Corpus Similarity](https://aclanthology.org/L16-1042) (Fothergill et al., LREC 2016)

• Evaluating a Topic Modelling Approach to Measuring Corpus Similarity (Fothergill et al., LREC 2016)

ACL

• Richard Fothergill, Paul Cook, and Timothy Baldwin. 2016. Evaluating a Topic Modelling Approach to Measuring Corpus Similarity. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 273–279, Portorož, Slovenia. European Language Resources Association (ELRA).