Paper: Classification From Full Text: A Comparison Of Canonical Sections Of Scientific Papers

ACL ID W04-1212
Title Classification From Full Text: A Comparison Of Canonical Sections Of Scientific Papers
Venue International Joint Workshop On Natural Language Processing In Biomedicine And Its Applications NLPBA BioNLP
Session
Year 2004
Authors

The accelerating growth in biomedical literature has stimulated activity on automated classification of and information extraction from this literature. The work described here attempts to improve on an ear- lier classification study associating biological arti- cles 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.