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        <title>Simplification-induced transformations: typology and some characteristics</title>
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        <namePart type="given">Anaïs</namePart>
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    <name type="personal">
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            <title>Proceedings of the 18th BioNLP Workshop and Shared Task</title>
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        <name type="personal">
            <namePart type="given">Dina</namePart>
            <namePart type="family">Demner-Fushman</namePart>
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        <name type="personal">
            <namePart type="given">Kevin</namePart>
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            <namePart type="family">Cohen</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <namePart type="given">Sophia</namePart>
            <namePart type="family">Ananiadou</namePart>
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        <name type="personal">
            <namePart type="given">Junichi</namePart>
            <namePart type="family">Tsujii</namePart>
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    <abstract>The purpose of automatic text simplification is to transform technical or difficult to understand texts into a more friendly version. The semantics must be preserved during this transformation. Automatic text simplification can be done at different levels (lexical, syntactic, semantic, stylistic...) and relies on the corresponding knowledge and resources (lexicon, rules...). Our objective is to propose methods and material for the creation of transformation rules from a small set of parallel sentences differentiated by their technicity. We also propose a typology of transformations and quantify them. We work with French-language data related to the medical domain, although we assume that the method can be exploited on texts in any language and from any domain.</abstract>
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    <identifier type="doi">10.18653/v1/W19-5033</identifier>
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        <date>2019-08</date>
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%0 Conference Proceedings
%T Simplification-induced transformations: typology and some characteristics
%A Koptient, Anaïs
%A Cardon, Rémi
%A Grabar, Natalia
%Y Demner-Fushman, Dina
%Y Cohen, Kevin Bretonnel
%Y Ananiadou, Sophia
%Y Tsujii, Junichi
%S Proceedings of the 18th BioNLP Workshop and Shared Task
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F koptient-etal-2019-simplification
%X The purpose of automatic text simplification is to transform technical or difficult to understand texts into a more friendly version. The semantics must be preserved during this transformation. Automatic text simplification can be done at different levels (lexical, syntactic, semantic, stylistic...) and relies on the corresponding knowledge and resources (lexicon, rules...). Our objective is to propose methods and material for the creation of transformation rules from a small set of parallel sentences differentiated by their technicity. We also propose a typology of transformations and quantify them. We work with French-language data related to the medical domain, although we assume that the method can be exploited on texts in any language and from any domain.
%R 10.18653/v1/W19-5033
%U https://aclanthology.org/W19-5033
%U https://doi.org/10.18653/v1/W19-5033
%P 309-318

Markdown (Informal)

[Simplification-induced transformations: typology and some characteristics](https://aclanthology.org/W19-5033) (Koptient et al., BioNLP 2019)

• Simplification-induced transformations: typology and some characteristics (Koptient et al., BioNLP 2019)

ACL

• Anaïs Koptient, Rémi Cardon, and Natalia Grabar. 2019. Simplification-induced transformations: typology and some characteristics. In Proceedings of the 18th BioNLP Workshop and Shared Task, pages 309–318, Florence, Italy. Association for Computational Linguistics.