Paper Info
Title
Why discourse structures in medical reports matter for the validity of automatically generated text knowledge bases.
Abstract
The automatic analysis of medical full-texts currently suffers from neglecting text coherence phenomena such as reference relations between discourse units. This has unwarranted effects on the description adequacy of medical knowledge bases automatically generated from texts. The resulting representation bias can be characterized in terms of artificially fragmented, incomplete and invalid knowledge structures. We discuss three types of textual phenomena (pronominal and nominal anaphora, as well as textual ellipsis) and outline basic methodologies how to deal with them.
Year
Venue
Keywords
1998
Studies in Health Technology and Informatics
natural language processing,pathology
Field
DocType
Volume
Information retrieval,Computer science,Artificial intelligence,Natural language processing
Conference
52
ISSN
Citations 
PageRank 
0926-9630
2
0.52
References 
Authors
6
3
Name
Order
Citations
PageRank
Udo Hahn193788.14
Martin Romacker245048.44
Stefan Schulz3295.15