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MDSWriter: Annotation tool for creating high-quality multi-document summarization corpora

Meyer, Christian M. ; Benikova, Darina ; Mieskes, Margot ; Gurevych, Iryna (2016)
MDSWriter: Annotation tool for creating high-quality multi-document summarization corpora.
Berlin, Germany
doi: 10.18653/v1/P16-4017
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

In this paper, we present MDSWriter, a novel open-source annotation tool for creating multi-document summarization corpora. A major innovation of our tool is that we divide the complex summarization task into multiple steps which enables us to efficiently guide the annotators, to store all their intermediate results, and to record user-system interaction data. This allows for evaluating the individual components of a complex summarization system and learning from the human writing process. MDSWriter is highly flexible and can be adapted to various other tasks.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2016
Autor(en): Meyer, Christian M. ; Benikova, Darina ; Mieskes, Margot ; Gurevych, Iryna
Art des Eintrags: Bibliographie
Titel: MDSWriter: Annotation tool for creating high-quality multi-document summarization corpora
Sprache: Englisch
Publikationsjahr: August 2016
Buchtitel: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016): System Demonstrations
Veranstaltungsort: Berlin, Germany
DOI: 10.18653/v1/P16-4017
URL / URN: http://aclweb.org/anthology/P16-4017
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Kurzbeschreibung (Abstract):

In this paper, we present MDSWriter, a novel open-source annotation tool for creating multi-document summarization corpora. A major innovation of our tool is that we divide the complex summarization task into multiple steps which enables us to efficiently guide the annotators, to store all their intermediate results, and to record user-system interaction data. This allows for evaluating the individual components of a complex summarization system and learning from the human writing process. MDSWriter is highly flexible and can be adapted to various other tasks.

Freie Schlagworte: UKP_reviewed;UKP_a_WALL;AIPHES_corpus
ID-Nummer: TUD-CS-2016-0113
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen
Hinterlegungsdatum: 31 Dez 2016 14:29
Letzte Änderung: 24 Jan 2020 12:03
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