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        <title>RANLP 2019 Multilingual Headline Generation Task Overview</title>
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            <title>Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources</title>
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    <abstract>The objective of the 2019 RANLP Multilingual Headline Generation (HG) Task is to explore some of the challenges highlighted by current state of the art approaches on creating informative headlines to news articles: non-descriptive headlines, out-of-domain training data, generating headlines from long documents which are not well represented by the head heuristic, and dealing with multilingual domain. This tasks makes available a large set of training data for headline generation and provides an evaluation methods for the task. Our data sets are drawn from Wikinews as well as Wikipedia. Participants were required to generate headlines for at least 3 languages, which were evaluated via automatic methods. A key aspect of the task is multilinguality. The task measures the performance of multilingual headline generation systems using the Wikipedia and Wikinews articles in multiple languages. The objective is to assess the performance of automatic headline generation techniques on text documents covering a diverse range of languages and topics outside the news domain.</abstract>
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%0 Conference Proceedings
%T RANLP 2019 Multilingual Headline Generation Task Overview
%A Litvak, Marina
%A Conroy, John M.
%A Rankel, Peter A.
%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 litvak-etal-2019-ranlp
%X The objective of the 2019 RANLP Multilingual Headline Generation (HG) Task is to explore some of the challenges highlighted by current state of the art approaches on creating informative headlines to news articles: non-descriptive headlines, out-of-domain training data, generating headlines from long documents which are not well represented by the head heuristic, and dealing with multilingual domain. This tasks makes available a large set of training data for headline generation and provides an evaluation methods for the task. Our data sets are drawn from Wikinews as well as Wikipedia. Participants were required to generate headlines for at least 3 languages, which were evaluated via automatic methods. A key aspect of the task is multilinguality. The task measures the performance of multilingual headline generation systems using the Wikipedia and Wikinews articles in multiple languages. The objective is to assess the performance of automatic headline generation techniques on text documents covering a diverse range of languages and topics outside the news domain.
%R 10.26615/978-954-452-058-8_001
%U https://aclanthology.org/W19-8901
%U https://doi.org/10.26615/978-954-452-058-8_001
%P 1-5

Markdown (Informal)

[RANLP 2019 Multilingual Headline Generation Task Overview](https://aclanthology.org/W19-8901) (Litvak et al., RANLP 2019)

• RANLP 2019 Multilingual Headline Generation Task Overview (Litvak et al., RANLP 2019)

ACL

• Marina Litvak, John M. Conroy, and Peter A. Rankel. 2019. RANLP 2019 Multilingual Headline Generation Task Overview. In Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources, pages 1–5, Varna, Bulgaria. INCOMA Ltd..