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        <title>A Web-based Framework for Collecting and Assessing Highlighted Sentences in a Document</title>
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        <namePart type="given">Sasha</namePart>
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    <abstract>Automatically highlighting a text aims at identifying key portions that are the most important to a reader. In this paper, we present a web-based framework designed to efficiently and scalably crowdsource two independent but related tasks: collecting highlight annotations, and comparing the performance of automated highlighting systems. The first task is necessary to understand human preferences and train supervised automated highlighting systems. The second task yields a more accurate and fine-grained evaluation than existing automated performance metrics.</abstract>
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%0 Conference Proceedings
%T A Web-based Framework for Collecting and Assessing Highlighted Sentences in a Document
%A Spala, Sasha
%A Dernoncourt, Franck
%A Chang, Walter
%A Dockhorn, Carl
%Y Zhao, Dongyan
%S Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico
%F spala-etal-2018-web
%X Automatically highlighting a text aims at identifying key portions that are the most important to a reader. In this paper, we present a web-based framework designed to efficiently and scalably crowdsource two independent but related tasks: collecting highlight annotations, and comparing the performance of automated highlighting systems. The first task is necessary to understand human preferences and train supervised automated highlighting systems. The second task yields a more accurate and fine-grained evaluation than existing automated performance metrics.
%U https://aclanthology.org/C18-2017
%P 78-81

Markdown (Informal)

[A Web-based Framework for Collecting and Assessing Highlighted Sentences in a Document](https://aclanthology.org/C18-2017) (Spala et al., COLING 2018)

• A Web-based Framework for Collecting and Assessing Highlighted Sentences in a Document (Spala et al., COLING 2018)

ACL

• Sasha Spala, Franck Dernoncourt, Walter Chang, and Carl Dockhorn. 2018. A Web-based Framework for Collecting and Assessing Highlighted Sentences in a Document. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 78–81, Santa Fe, New Mexico. Association for Computational Linguistics.