- Abstract:
- The accelerating growth in biomedical literature has stimulated activity on auto mated classification of and information extraction from this literature. The work described here attempts to improve on an earlier classification study associating biological articles to GO codes. It demonstrates the need, under particular assumptions, for more access to full text articles and for the use of Part-of-Speech tagging.
- Links To Paper
- 1st Link
- Bibtex format
- @InProceedings{EDI-INF-RR-1212,
- author = {
Gail Sinclair
and Bonnie Webber
},
- title = {Classification from Full Text: A Comparison of Canonical Sections of Scientific Papers},
- book title = {Joint Workshop on Natural Language Processing in Biomedicine and its Applications},
- year = 2004,
- month = {Aug},
- url = {http://homepages.inf.ed.ac.uk/csincla1/papers/NLPBA-04.pdf},
- }
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