EvENT - Evaluating Events in Narrative Theory
EvENT is an interdisciplinary approach to the formalization and analysis of events in narratives, based on a combination of Natural Language Processing (NLP) methods and concepts of Literary Studies. With a focus on the potential added value of using concepts of one discipline in the other one, the project includes the theoretical research of event concepts in both disciplines, the subsequent modeling and implementation for the automatic analysis of narrative texts, and the application of these systems for literary text analysis as well as in the context of information representation.
Natural Language Processing
For the NLP research community, the theoretical discussions on narrative research questions and the operationalization of respective concepts in cooperation with Literary Studies will lead to advances on modeling events, sequences of events and a notion of event centrality/event ranking within long documents, with the additional challenge from the application domain, i.e. German literary texts.
For Narratology the modeling of events in cooperation with NLP will establish a testbed, which has not been available so far. Inductive development and application of categories for text analysis as performed in Literary Studies is complemented by a deductive approach, evaluating these categories in a variety of texts. This will lead to a twofold advancement of Narratology: with regard to theory The iterative modeling will generate theoretical findings about the formal narrative concept of events, with regard to the application of event concepts tools will be developed that can be applied for the computer-aided analysis of literary texts.
PartnersThe project is conducted in close cooperation with the Digital Philology group at TU Darmstadt. See their project page for further details.
- Prof. Dr. Evelyn Gius
- Michael Vauth