s from Biomedical Abstracts Patrick Rucha , Celia Boyer c , Christine Chichesterb , Imad Tbahritiab Antoine Geissbühlera , Paul Fabrya , Julien Gobeilla , Violaine Pilletab , Diet...
This paper proposes a method for key-frame selection of captured motion data. In many cases, it is desirable to obtain a compact representation of the human motion. Key-framing is...
Background: Within the emerging field of text mining and statistical natural language processing (NLP) applied to biomedical articles, a broad variety of techniques have been deve...
We present some novel machine learning techniques for the identification of subcategorization information for verbs in Czech. We compare three different statistical techniques app...
Subcategorization is a kind of knowledge which can be considered as crucial in several NLP tasks, such as Information Extraction or parsing, but the collection of very large resou...