Two new journal articles in Digital Humanities research published by members of the Computational Linguistics group

Two new journal articles are published in the leading Digital Humanities journal Literary and Linguistic Computing: The Journal of Digital Scholarship in the Humanities, which is now changing its name to DSH: Digital Scholarship in the Humanities.

The first article presents innovative research in the NLP-analysis of narrative structure using event alignment techniques, and summarizes major outcomes of Nils Reiter's doctoral dissertation.

Reiter, N., Frank, A., and Hellwig, O. (2014): An NLP-based Cross-Document Approach to Narrative Structure Discovery. Literary and Linguistic Computing, Special Issue on Computational Models of Narrative, 29:4, 583 -605.

The second article applies Markov Logic Networks to the problem of citation segmentation from noisy input, using joint inferencing techniques. The work arose from Dustin Heckmann's B.A. thesis in the Turkology Annual project in Heidelberg University's Cluster of Excellence Asia and Europe.

Heckmann, D., Frank, A., Arnold, M., Gietz, P., and Roth, C. (2014): Citation Segmentation from Sparse & Noisy Data: A Joint Inference Approach with Markov Logic Networks. Digital Scholarship in the Humanities (formerly: Literary and Linguistic Computing).