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Fine-grained named entity annotations for German biographic interviews
Ruppenhofer, Josef
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Rehbein, Ines
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Flinz, Carolina
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URL:
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https://www.aclweb.org/anthology/2020.lrec-1.566
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Additional URL:
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https://ids-pub.bsz-bw.de/frontdoor/deliver/index/...
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Document Type:
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Conference or workshop publication
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Year of publication:
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2020
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Book title:
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LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings
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Page range:
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4605-4614
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Conference title:
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LREC 2020
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Location of the conference venue:
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Marseille, France
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Date of the conference:
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11.-16.05.2020
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Publisher:
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Calzolari, Nicoletta
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Place of publication:
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Paris ; Mannheim
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Publishing house:
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ELRA ; IDS, Bibliothek
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ISBN:
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979-10-95546-34-4 , 979-10-95546-61-0
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Publication language:
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English
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Institution:
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Außerfakultäre Einrichtungen > SFB 884
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Subject:
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004 Computer science, internet
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Abstract:
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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.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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