ECCE : Entity-centric Corpus Exploration Using Contextual Implicit Networks

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2022
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Ehrmann, Maud
Romanello, Matteo
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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.

Zusammenfassung in einer weiteren Sprache
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
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Zitieren
ISO 690SCHELB, 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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