Abschnitt: Kick-off (to be announced) | WS23: Seminar Text Mining for Computational Humanities | WueCampus

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Abschnittsübersicht

- Aktivität Please send an email with your A and B choice to l... auswählen
  
  Please send an email with your A and B choice to lennart.keller@uni-wuerzburg.de until end of Friday (3.11).
  
  NLP (adaptation) for historical texts
  
  Language models for NLP on historical texts
  
  Starting Paper: MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950) (Manjavacas Arevalo & Fonteyn, NLP4DH 2021)
  
  Transfer learning for NER on historical texts
  
  Starting Papers:
  
  Transferring Modern Named Entity Recognition to the Historical Domain: How to Take the Step?(Blouin et al., NLP4DH 2021)
  
  Batavia asked for advice. Pretrained language models for Named Entity Recognition in historical texts. (Arnoult et al., LaTeCHCLfL 2021)
  
  NLP in literary analysis
  
  Identification of key paragraphs
  
  Starting Paper: Lotte and Annette: A Framework for Finding and Exploring Key Passages in Literary Works (Arnold & Jäschke, NLP4DH 2021)
  
  Data bias in literary classification
  
  Starting Paper: Measuring the Effects of Bias in Training Data for Literary Classification (Bagga & Piper, LaTeCHCLfL 2020)
  
  Analysis of translated literature
  
  Starting Papers:
  
  TL-Explorer: A Digital Humanities Tool for Mapping and Analyzing Translated Literature (Zhai et al., LaTeCHCLfL 2020)
  
  Translationese in Russian Literary Texts (Kunilovskaya et al., LaTeCHCLfL 2021)

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