Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In thi...
Questions are not asked in isolation. Their context, viz. the preceding interactions, might be of help to understand them and retrieve the correct answer. Previous research in Int...
Raffaella Bernardi, Manuel Kirschner, Zorana Ratko...
Current state-of-the-art systems for automatic phonetic transcription (APT) are mostly phone recognizers based on Hidden Markov models (HMMs). We present a different approach for ...
Christina Leitner, Martin Schickbichler, Stefan Pe...
We introduce a method for automatically labelling edges of word co-occurrence graphs with semantic relations. Therefore we only make use of training data already contained within ...
Many object categories are better characterized by the shape of their contour than by local appearance properties like texture or color. Multi-local features are designed in order...
Oscar M. Danielsson, Stefan Carlsson, Josephine Su...