Kai Labusch und Named Entity - Info zur Person

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Qualität in der InhaltserschließungOAPEN

library.oapen.org

von M Franke-Maier · · Zitiert von: 1 — Clemens Neudecker, Kai Labusch, Elena Leitner, Georg Rehm. Named Entity Linking mit Wikidata und GND – Das Potenzial handkuratierter.

Explainable Publication Year Prediction of Eighteenth ...helsinki.fi

researchportal.helsinki.fi

von I Rastas · Zitiert von: 5 — Kai Labusch, Clemens Neudecker, and David Zellhöfer Bert for named entity recognition in contem- porary and historic german.

Transferring Modern Named Entity Recognition to the ...Archive ouverte HAL

hal.science

von B Baptiste · Zitiert von: 5 — Kai Labusch, Clemens Neudecker, and David Zellhöfer Bert for named entity recognition in contem- porary and historic german.

Proceedings of the 15th Conference on Natural Language ...researchr.org › publication › konvens-2019

researchr.org

... Sandra Kübler, Heike Zinsmeister. [doi] · BERT for Named Entity Recognition in Contemporary and Historic GermanKai Labusch, Clemens Neudecker, David ...

Alle Infos zum Namen "Kai Labusch"

Adapting vs. Pre-Training Language Models for Historical ...Episciences

jdmdh.episciences.org

von L Fonteyn · · Zitiert von: 2 — Kai Labusch, Clemens Neudecker, and David Zellhöfer. Bert for named entity recognition in contemporary and historical german. In Proceedings of the 15th ...

MacBERTh: Development and Evaluation of a Historically ...ACL Anthology

aclanthology.org

von E Manjavacas · · Zitiert von: 15 — Kai Labusch, Clemens Neudecker, and David Zellhöfer Bert for named entity recognition in contem- porary and historical german. In Proceedings of the.

Qualität in der Inhaltserschließung - RefubiumFreie Universität Berlin

refubium.fu-berlin.de

von M Franke-Maier · · Zitiert von: 1 — Clemens Neudecker, Kai Labusch, Elena Leitner, Georg Rehm. Named Entity Linking mit Wikidata und GND – Das Potenzial handkuratierter.

“Abstract” in “Using Deep Learning for Emotion Analysis ...Melusina Press

www.melusinapress.lu

[online]; Kai Labusch / Clemens Neudecker / David Zellhofer: BERT for Named Entity Recognition in Contemporary and Historical German. In Proceedings of the ...

KONVENS'19 - The German-focused NLP ConferenceComtravo

tech.comtravo.com

— ... German texts, BERT for Named Entity Recognition in Contemporary and Historic German Kai Labusch, Clemens Neudecker and David Zellhöfer.

KOVENS'19 - The German-focused NLP Conference

www.davidsbatista.net

BERT was also used for the named entity recognition task for historic German texts, BERT for Named Entity Recognition in Contemporary and Historic German Kai Labusch, Clemens Neudecker and David Zellhöfer.

Programme | KONVENS 2019

2019.konvens.org

Kai Labusch, Clemens Neudecker and David Zellhöfer. BERT for Named Entity Recognition in Contemporary and Historic German. Michael Wiegand, Margarita Chikobava and Josef Ruppenhofer. A Supervised Learning Approach for the Extraction of Sources and Targets from German Text. Michael Wiegand, Leonie Lapp and Josef Ruppenhofer.

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Person "Labusch" (3)
Vorname "Kai" (24381)
Name "Labusch" (166)

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