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EMNLP
2007

Extracting Data Records from Unstructured Biomedical Full Text

9 years 2 months ago
Extracting Data Records from Unstructured Biomedical Full Text
In this paper, we address the problem of extracting data records and their attributes from unstructured biomedical full text. There has been little effort reported on this in the research community. We argue that semantics is important for record extraction or finer-grained language processing tasks. We derive a data record template including semantic language models from unstructured text and represent them with a discourse level Conditional Random Fields (CRF) model. We evaluate the approach from the perspective of Information Extraction and achieve significant improvements on system performance compared with other baseline systems.
Donghui Feng, Gully Burns, Eduard H. Hovy
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where EMNLP
Authors Donghui Feng, Gully Burns, Eduard H. Hovy
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