Unsupervised Natural Language Processing for Knowledge Extraction from Domain-specific Textual Resources

This thesis aims to develop a Relation Extraction algorithm to extract knowledge out of automotive data. While most approaches to Relation Extraction are only evaluated on newspaper data dealing with general relations from the business world their applicability to other data sets is not well studied...

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Bibliographic Details
Main Author: Hänig, Christian
Other Authors: Universität Leipzig,
Format: Doctoral Thesis
Language:English
Published: Universitätsbibliothek Leipzig 2013
Subjects:
NLP
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-112706
http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-112706
http://www.qucosa.de/fileadmin/data/qucosa/documents/11270/Dissertation.final.pdf