Konferenzbeitrag

Fine-grained Named Entity Annotations for German Biographic Interviews

We present a fine-grained NER annotations scheme 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 adding label classes for various numeric and temporal expressions. 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 baselines 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.

Fine-grained Named Entity Annotations for German Biographic Interviews

Urheber*in: Ruppenhofer, Josef; Rehbein, Ines; Flinz, Carolina

Namensnennung - Nicht kommerziell 4.0 International

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Sprache
Englisch

Thema
Korpus <Linguistik>
Gesprochene Sprache
Name
Annotation
Automatische Spracherkennung
Oral history
Sprache

Ereignis
Geistige Schöpfung
(wer)
Ruppenhofer, Josef
Rehbein, Ines
Flinz, Carolina
Ereignis
Veröffentlichung
(wer)
Paris : European Language Resources Association
(wann)
2020-06-01

URN
urn:nbn:de:bsz:mh39-98652
Letzte Aktualisierung
06.03.2025, 09:00 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Ruppenhofer, Josef
  • Rehbein, Ines
  • Flinz, Carolina
  • Paris : European Language Resources Association

Entstanden

  • 2020-06-01

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