Learning structures of negations from flat annotations
Vinodkumar Prabhakaran, Branimir Boguraev
*SEM 2015
Text encoding, when applied to complex text types, requires principled separation of (visual) presentation properties of text from (conceptual) functional organization of content. This is particularly pressing when machine-readable dictionaries (MRDs) are being analysed for implicit lexical semantic content. We argue that a current proposal for textencoding guidelines falls somewhat short of making such a separation; we furthermore argue for such a separation, by demonstrating the benefits it brings to a methodology for extracting lexical data from MRDs. © 1992 Oxford University Press.
Vinodkumar Prabhakaran, Branimir Boguraev
*SEM 2015
Branimir Boguraev, Mary Neff
LREC 2008
Branimir Boguraev, Mary Neff
Language Resources and Evaluation
Branimir Boguraev, Mary Neff
Language Resources and Evaluation