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        <title>EASY-M: Evaluation System for Multilingual Summarizers</title>
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        <dateIssued>2019-09</dateIssued>
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            <title>Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources</title>
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        <name type="personal">
            <namePart type="given">George</namePart>
            <namePart type="family">Giannakopoulos</namePart>
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    <abstract>Automatic text summarization aims at producing a shorter version of a document (or a document set). Evaluation of summarization quality is a challenging task. Because human evaluations are expensive and evaluators often disagree between themselves, many researchers prefer to evaluate their systems automatically, with help of software tools. Such a tool usually requires a point of reference in the form of one or more human-written summaries for each text in the corpus. Then, a system-generated summary is compared to one or more human-written summaries, according to selected metrics. However, a single metric cannot reflect all quality-related aspects of a summary. In this paper we present the EvAluation SYstem for Multilingual Summarization (EASY-M), which enables the evaluation of system-generated summaries in 17 different languages with several quality measures, based on comparison with their human-generated counterparts. The system also provides comparative results with two built-in baselines. The source code and both online and offline versions of EASY-M is freely available for the NLP community.</abstract>
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    <identifier type="doi">10.26615/978-954-452-058-8_008</identifier>
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        <url>https://aclanthology.org/W19-8908</url>
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%0 Conference Proceedings
%T EASY-M: Evaluation System for Multilingual Summarizers
%Y Giannakopoulos, George
%S Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources
%D 2019
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F nn-2019-easy
%X Automatic text summarization aims at producing a shorter version of a document (or a document set). Evaluation of summarization quality is a challenging task. Because human evaluations are expensive and evaluators often disagree between themselves, many researchers prefer to evaluate their systems automatically, with help of software tools. Such a tool usually requires a point of reference in the form of one or more human-written summaries for each text in the corpus. Then, a system-generated summary is compared to one or more human-written summaries, according to selected metrics. However, a single metric cannot reflect all quality-related aspects of a summary. In this paper we present the EvAluation SYstem for Multilingual Summarization (EASY-M), which enables the evaluation of system-generated summaries in 17 different languages with several quality measures, based on comparison with their human-generated counterparts. The system also provides comparative results with two built-in baselines. The source code and both online and offline versions of EASY-M is freely available for the NLP community.
%R 10.26615/978-954-452-058-8_008
%U https://aclanthology.org/W19-8908
%U https://doi.org/10.26615/978-954-452-058-8_008
%P 53-62

Markdown (Informal)

[EASY-M: Evaluation System for Multilingual Summarizers](https://aclanthology.org/W19-8908) (Giannakopoulos, RANLP 2019)

• EASY-M: Evaluation System for Multilingual Summarizers (Giannakopoulos, RANLP 2019)

ACL

• 2019. EASY-M: Evaluation System for Multilingual Summarizers. In Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources, pages 53–62, Varna, Bulgaria. INCOMA Ltd..