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.
We are currently working on the following projects:
Burrows’ Zeta: Exploring and Evaluating Variants and Parameters. (2018). 274-277.
Adaptive kNN Using Expected Accuracy for Classification of Geo-spatial Data. in SAC '18 (2018). 857--865.
Accessing Information with Tags: Search and Ranking. 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. in Big Data and Software Defined Networks (2018).
Healing Time Correlates With the Quality of Scaring: Results From a Prospective Randomized Control Donor Site Trial. in Dermatologic Surgery (2018). 44(4) 521--527.