Publikation

Unsupervised Relation Extraction from Web Documents.

Kathrin Eichler, Holmer Hemsen, Günter Neumann

In: Proceedings of the 6th International Conference on Language Resources and Evaluation. International Conference on Language Resources and Evaluation (LREC-2008) 6th May 28-30 Marrakech Morocco ELRA 2008.

Abstrakt

The IDEX system is a prototype of an interactive dynamic Information Extraction (IE) system. A user of the system expresses an information request for a topic description which is used for an initial search in order to retrieve a relevant set of documents. On basis of this set of documents unsupervised relation extraction and clustering is done by the system. The results of these operations can then be interactively inspected by the user. In this paper we describe the relation extraction and clustering components of the IDEX system. Preliminary evaluation results of these components are presented and an overview is given of possible enhancements to improve the relation extraction and clustering components.

IDEX_LREC08_final.pdf (pdf, 135 KB)

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence