ECCE : Entity-centric Corpus Exploration Using Contextual Implicit Networks

Schelb, Julian; Ehrmann, Maud; Romanello, Matteo; Spitz, Andreas

ECCE : Entity-centric Corpus Exploration Using Contextual Implicit Networks

Dateien

Schelb_2-18ie4364s9syy0.pdfGröße: 1.17 MBDownloads: 69

Datum

2022

Autor:innen

Schelb, Julian

Ehrmann, Maud

Romanello, Matteo

Spitz, Andreas

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

LAFOREST, Frédérique, ed., Raphaël TRONCY, ed., Elena SIMPERL, ed. and others. Companion Proceedings of the Web Conference 2022 (WWW ’22 Companion). New York, NY: ACM, 2022, pp. 278-281. ISBN 978-1-4503-9130-6. Available under: doi: 10.1145/3487553.3524237

Zusammenfassung

In the Digital Age, the analysis and exploration of unstructured document collections is of central importance to members of investigative professions, whether they might be scholars, journalists, paralegals, or analysts. In many of their domains, entities play a key role in the discovery of implicit relations between the contents of documents and thus serve as natural entry points to a detailed manual analysis, such as the prototypical 5Ws in journalism or stock symbols in finance. To assist in these analyses, entity-centric networks have been proposed as a language model that represents document collections as a cooccurrence graph of entities and terms, and thereby enables the visual exploration of corpora. Here, we present ECCE, a web-based application that implements entitycentric networks, augments them with contextual language models, and provides users with the ability to upload, manage, and explore document collections. Our application is available as a web-based service at http://dimtools.uni.kn/ecce.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Entity network, cooccurrence network, corpus exploration

Konferenz

The Web Conference (WWW'22), 25. Apr. 2022 - 29. Apr. 2022, Lyon, France

Zitieren

ISO 690

SCHELB, Julian, Maud EHRMANN, Matteo ROMANELLO, Andreas SPITZ, 2022. ECCE : Entity-centric Corpus Exploration Using Contextual Implicit Networks. The Web Conference (WWW'22). Lyon, France, 25. Apr. 2022 - 29. Apr. 2022. In: LAFOREST, Frédérique, ed., Raphaël TRONCY, ed., Elena SIMPERL, ed. and others. Companion Proceedings of the Web Conference 2022 (WWW ’22 Companion). New York, NY: ACM, 2022, pp. 278-281. ISBN 978-1-4503-9130-6. Available under: doi: 10.1145/3487553.3524237

BibTex

@inproceedings{Schelb2022Entit-58324,
  year={2022},
  doi={10.1145/3487553.3524237},
  title={ECCE : Entity-centric Corpus Exploration Using Contextual Implicit Networks},
  isbn={978-1-4503-9130-6},
  publisher={ACM},
  address={New York, NY},
  booktitle={Companion Proceedings of the Web Conference 2022 (WWW ’22 Companion)},
  pages={278--281},
  editor={Laforest, Frédérique and Troncy, Raphaël and Simperl, Elena},
  author={Schelb, Julian and Ehrmann, Maud and Romanello, Matteo and Spitz, Andreas}
}

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Universitätsbibliographie

Ja