Relation Extraction for Monitoring Economic Networks
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Relation extraction from texts is a research topic since the message understanding conferences. Most investigations dealt with English texts. However, the heuristics found for these do not perform well when applied to a language with free word order, as is, e.g., German. In this paper, we present a German annotated corpus for relation extraction. We have implemented the state of the art methods of relation extraction using kernel methods and evaluate them on this corpus. The poor results led to a feature set which focusses on all words of the sentence and a tree kernel which includes words, in addition to the syntactic structure. The relation extraction is applied to monitoring a graph of economic company-directors network.
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