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        <title>EL-BERT at SemEval-2020 Task 10: A Multi-Embedding Ensemble Based Approach for Emphasis Selection in Visual Media</title>
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        <namePart type="given">Chandresh</namePart>
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    <name type="personal">
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    <abstract>In visual media, text emphasis is the strengthening of words in a text to convey the intent of the author. Text emphasis in visual media is generally done by using different colors, backgrounds, or font for the text; it helps in conveying the actual meaning of the message to the readers. Emphasis selection is the task of choosing candidate words for emphasis, it helps in automatically designing posters and other media contents with written text. If we consider only the text and do not know the intent, then there can be multiple valid emphasis selections. We propose the use of ensembles for emphasis selection to improve over single emphasis selection models. We show that the use of multi-embedding helps in enhancing the results for base models. To show the efficacy of proposed approach we have also done a comparison of our results with state-of-the-art models.</abstract>
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%0 Conference Proceedings
%T EL-BERT at SemEval-2020 Task 10: A Multi-Embedding Ensemble Based Approach for Emphasis Selection in Visual Media
%A Kanani, Chandresh
%A Saha, Sriparna
%A Bhattacharyya, Pushpak
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 dec
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F kanani-etal-2020-el
%X In visual media, text emphasis is the strengthening of words in a text to convey the intent of the author. Text emphasis in visual media is generally done by using different colors, backgrounds, or font for the text; it helps in conveying the actual meaning of the message to the readers. Emphasis selection is the task of choosing candidate words for emphasis, it helps in automatically designing posters and other media contents with written text. If we consider only the text and do not know the intent, then there can be multiple valid emphasis selections. We propose the use of ensembles for emphasis selection to improve over single emphasis selection models. We show that the use of multi-embedding helps in enhancing the results for base models. To show the efficacy of proposed approach we have also done a comparison of our results with state-of-the-art models.
%R 10.18653/v1/2020.semeval-1.214
%U https://aclanthology.org/2020.semeval-1.214
%U https://doi.org/10.18653/v1/2020.semeval-1.214
%P 1645-1651

Markdown (Informal)

[EL-BERT at SemEval-2020 Task 10: A Multi-Embedding Ensemble Based Approach for Emphasis Selection in Visual Media](https://aclanthology.org/2020.semeval-1.214) (Kanani et al., SemEval 2020)

• EL-BERT at SemEval-2020 Task 10: A Multi-Embedding Ensemble Based Approach for Emphasis Selection in Visual Media (Kanani et al., SemEval 2020)

ACL

• Chandresh Kanani, Sriparna Saha, and Pushpak Bhattacharyya. 2020. EL-BERT at SemEval-2020 Task 10: A Multi-Embedding Ensemble Based Approach for Emphasis Selection in Visual Media. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 1645–1651, Barcelona (online). International Committee for Computational Linguistics.