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Deutsch Intern
    DMIR Research Group

    Digital Humanities and Natural Language Processing

    Digital Humanities and the appliciation and develoment of Natural Language Processing methods is an active reasearch field in the DMIR group. In projects like Kallimachos or CLiGS we collaborate with literary scholars and work on literary and NLP research questions. Current research topics involve for example the detection of direct speech, the classification of text types or sentiment analysis in a literary context.

    Projects

    We are currently working on the following projects:

    Kallimachos

    Building complete text analysis pipeline, starting with OCR from paper and going up to high-level text mining and the application to German literary works.

     

    CLiGS

    Quantitative analysis of literary texts and the fundamental issues of literary studies in the domain of genre theory and stylistics.

    Publications

    Here is a list of selected publications. You can find the full list here and here.

    • Burrows’ Zeta: Exploring and Evaluating Variants and Parameters.Schöch, Christof; Schlör, Daniel; Zehe, Albin; Gebhard, Henning; Becker, Martin; Hotho, Andreas (2018). 274-277.
       
    • Adaptive kNN Using Expect... - Download
      Adaptive kNN Using Expected Accuracy for Classification of Geo-spatial Data.Kibanov, Mark; Becker, Martin; Mueller, Juergen; Atzmueller, Martin; Hotho, Andreas; Stumme, Gerd in SAC '18 (2018). 857--865.
       
    • Accessing Information with Tags: Search and Ranking.Navarro Bullock, Beate; Hotho, Andreas; Stumme, Gerd in Social Information Access: Systems and Technologies, P. Brusilovsky, He, D. (eds.) (2018). 310--343.
       
    • Big-Data Helps SDN to Improve Application Specific Quality of Service.Schwarzmann, Susanna; Blenk, Andreas; Dobrijevic, Ognjen; Jarschel, Michael; Hotho, Andreas; Zinner, Thomas; Wamser, Florian in Big Data and Software Defined Networks (2018).
       
    • Healing Time Correlates W... - Download
      Healing Time Correlates With the Quality of Scaring: Results From a Prospective Randomized Control Donor Site Trial.Werdin, Frank; Tenenhaus, Mayer; Becker, Martin; Rennekampff, Hans-Oliver in Dermatologic Surgery (2018). 44(4) 521--527.
       

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    Contact

    Andreas Hotho
    DMIR Research Group
    Am Hubland
    97074 Würzburg

    Phone: +49 931 31-86731
    Fax: +49 931 31-86732

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