Publikation

Workshop on Computational Impact Detection from Text Data

Jana Diesner, Georg Rehm, Andreas Witt (Hrsg.)

International Conference on Language Resources and Evaluation (LREC-2018) Miyazaki, Japan ISBN 979-10-95546-05-4 Proceedings of the LREC 2018 5/2018.

Abstrakt

How can we measure the impact – such as awareness for economic, ecological, and political matters – of information, such as scientific publications, user-generated content, and reports from the public administration, based on text data? This workshop brings together research from different theoretical paradigms and methodologies for the extraction of impact-relevant indicators from natural language text data and related meta-data. The papers in this workshop represent different types of expertise in different methods for analyzing text data; spanning the whole spectrum of qualitative, quantitative, and mixed methods techniques, as well as domain expertise in the field of impact measurement. The program was built to create an interdisciplinary half-day workshop where we discuss possibilities, limitations, and synergistic effects of different approaches.

Projekte

Weitere Links

LREC-2018-CID-Workshop-2.pdf (pdf, 2 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence