Fine-grained named entity annotations for German biographic interviews

Ruppenhofer, Josef ; Rehbein, Ines ; Flinz, Carolina

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Document Type: Conference or workshop publication
Year of publication: 2020
Book title: LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings
Page range: 4605-4614
Conference title: LREC 2020
Location of the conference venue: Marseille, France
Date of the conference: 11.-16.05.2020
Publisher: Calzolari, Nicoletta
Place of publication: Paris ; Mannheim
Publishing house: ELRA ; IDS, Bibliothek
ISBN: 979-10-95546-34-4 , 979-10-95546-61-0
Publication language: English
Institution: Außerfakultäre Einrichtungen > SFB 884
Subject: 004 Computer science, internet
Abstract: We present a fine-grained NER annotations with 30 labels and apply it to German data. Building on the OntoNotes 5.0 NER inventory, our scheme is adapted for a corpus of transcripts of biographic interviews by adding categories for AGE and LAN(guage) and also features extended numeric and temporal categories. Applying the scheme to the spoken data as well as a collection of teaser tweets from newspaper sites, we can confirm its generality for both domains, also achieving good inter-annotator agreement. We also show empirically how our inventory relates to the well-established 4-category NER inventory by re-annotating a subset of the GermEval 2014 NER coarse-grained dataset with our fine label inventory. Finally, we use a BERT-based system to establish some baseline models for NER tagging on our two new datasets. Global results in in-domain testing are quite high on the two datasets, near what was achieved for the coarse inventory on the CoNLLL2003 data. Cross-domain testing produces much lower results due to the severe domain differences.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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