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        <title>Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing</title>
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        <namePart type="given">Tim</namePart>
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    <abstract>The prevalent way to estimate the similarity of two documents based on word embeddings is to apply the cosine similarity measure to the two centroids obtained from the embedding vectors associated with the words in each document. Motivated by an industrial application from the domain of youth marketing, where this approach produced only mediocre results, we propose an alternative way of combining the word vectors using matrix norms. The evaluation shows superior results for most of the investigated matrix norms in comparison to both the classical cosine measure and several other document similarity estimates.</abstract>
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%0 Conference Proceedings
%T Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing
%A vor der Brück, Tim
%A Pouly, Marc
%S Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
%D 2019
%8 jun
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F vor-der-bruck-pouly-2019-text
%X The prevalent way to estimate the similarity of two documents based on word embeddings is to apply the cosine similarity measure to the two centroids obtained from the embedding vectors associated with the words in each document. Motivated by an industrial application from the domain of youth marketing, where this approach produced only mediocre results, we propose an alternative way of combining the word vectors using matrix norms. The evaluation shows superior results for most of the investigated matrix norms in comparison to both the classical cosine measure and several other document similarity estimates.
%R 10.18653/v1/N19-1181
%U https://aclanthology.org/N19-1181
%U https://doi.org/10.18653/v1/N19-1181
%P 1827-1836

Markdown (Informal)

[Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing](https://aclanthology.org/N19-1181) (vor der Brück & Pouly, NAACL 2019)

• Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing (vor der Brück & Pouly, NAACL 2019)

ACL

• Tim vor der Brück and Marc Pouly. 2019. Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 1827–1836, Minneapolis, Minnesota. Association for Computational Linguistics.