Summary of the paper
| Title | Unsupervised Relation Extraction From Web Documents |
|---|---|
| Authors | Kathrin Eichler, Holmer Hemsen and Günter Neumann |
| Abstract | The IDEX system is a prototype of an interactive dynamic Information Extraction (IE) system. A user of the system expresses an information request in the form of 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. |
| Language | Single language |
| Topics | Information Extraction, Information Retrieval, Named Entity recognition, Tools, systems, applications |
Full paper |
Unsupervised Relation Extraction From Web Documents |
Slides |
Unsupervised Relation Extraction From Web Documents |
| Bibtex | @InProceedings{EICHLER08.425, author = {Kathrin Eichler, Holmer Hemsen and Günter Neumann}, title = {Unsupervised Relation Extraction From Web Documents}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |