Construction of Research Infrastructures for eHumanities

Motivation

DARIAH-DE is the German contribution to the EU-ESFRI-Project DARIAH-EU. The mission of DARIAH is to enhance and support digitally-enabled research across the arts and humanities. DARIAH aims to develop and maintain an infrastructure in support of research practices based on information and communication technology - so called virtual research environments.

The Ubiquitous Knowledge Processing Lab is involved in the work package 5.3 "Big Data in Humanities", which evaluates big data techniques for their applicability in humanities.

Goals

The contribution of work package 5 to the DARIAH-DE project is the evaluation of big data techniques and big data principles for humanities. The Ubiquitous Knowledge Processing Lab is involded in a use case for the work package 5.3 together with researchers from the University of Würzburg. In the use case, techniques are developed, that automatically detect and analyze narrative structures in German. These techniques are applied to a corpus of around 2000 novels, which were written over the last centuries.

Methods

Existing methods from the field of natural language processing are evaluated and new methods are developed to meet the special requirements of detecting narrative structures in novels. Approaches are likely to include methods to detect named entities in novels as well as sentiment analysis for the different characters appearing in a novel.

People

Funding

The project is funded by the German Ministry of Education and Research (BMBF).

Project Publications

Additional Attributes

Type

A Tool for NLP-Preprocessing in Literary Text Analysis

Nils Reimers, Fotis Jannidis, Steffen Pielström, Stefan Pernes, Isabella Reger
March 2016
[Online-Edition: https://github.com/DARIAH-DE/DARIAH-DKPro-Wrapper]
[Misc]

Event Nugget Detection, Classification and Coreference Resolution using Deep Neural Networks and Gradient Boosted Decision Trees

Nils Reimers, Iryna Gurevych
In: Proceedings of the Eighth Text Analysis Conference (TAC 2015), January 2015
[Online-Edition: https://github.com/UKPLab/tac2015-event-detection]
[Inproceedings]

GermEval-2014: Nested Named Entity Recognition with Neural Networks

Nils Reimers, Judith Eckle-Kohler, Carsten Schnober, Jungi Kim, Iryna Gurevych
In: Workshop Proceedings of the 12th Edition of the KONVENS Conference, p. 117-120, October 2014
Universitätsverlag Hildesheim
[Online-Edition: https://www.ukp.tu-darmstadt.de/research/ukp-in-challenges/germeval-2014/]
[Inproceedings]

A Lightweight Framework for Reproducible Parameter Sweeping in Information Retrieval

Richard Eckart de Castilho, Iryna Gurevych
In: Proceedings of the 2011 workshop on Data infrastructurEs for supporting information retrieval evaluation, p. 7-10, 2011
ACM
[Online-Edition: https://dkpro.github.io/dkpro-lab/]
[Inproceedings]
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