In 2011, the University of Hildesheim and Chemnitz University of Technology participated together in the CLEF Intellectual Property Track. We focused on the prior art candidate search, which was already provided for the third time. Our group submitted seven runs ranging from simple bag of words to linguistic phrases. The aim of our experiments was to examine the effectiveness of different query...

We introduce an extension to the bag-ofwords model for learning words representations that take into account both syntactic and semantic properties within language. This is done by employing an attention model that finds within the contextual words, the words that are relevant for each prediction. The general intuition of our model is that some words are only relevant for predicting local conte...

Using speech processing technologies with third-grade readers, several new measures of reading rate were developed that involved measuring reading speed of individual words within the context of continuous text. Scores from one test form consisting of three passages were correlated with scores from another test form with three different passages to evaluate each measure’s reliability. Correlati...

Turn on a TV news channel in the US and you are likely to see some well-spoken, attractive personality referring to opponents of the Iraq war as members of the ‘hard left’. A large fraction of the American public opposes the war, of course, but we are inured to this prejudicial use of language. At least one network speaks quite purposefully, but one wonders about the others — are the announcers...