Automatic Discovery and Aggregation of Compound Names for the Use in Knowledge Representations

URN to cite this document:: urn:nbn:de:bvb:355-epub-68376
DOI to cite this document:: 10.5283/epub.6837

Biemann, Christian ; Böhm, Karsten ; Quasthoff, Uwe ; Wolff, Christian

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Date of publication of this fulltext: 18 Sep 2009 10:33

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Abstract

Automatic acquisition of information structures like Topic Maps or semantic networks from large document collections is an important issue in knowledge management. An inherent problem with automatic approaches is the treatment of multiword terms as single semantic entities. Taking company names as an example, we present a method for learning multiword terms from large text corpora exploiting ...