Abstract A growing amount of information is stored in relational databases and many scenarios involving human-computer interaction by means of natural language can be distilled to the problem of designing interfaces to relational databases that[…]
View Seminar Video Abstract All current models of spoken word recognition assume that as speech unfolds multiple lexical candidates become partially activated and compete for recognition. However, models differ on fundamental questions such as the[…]
View Seminar Video Abstract The term ontological semantics refers to the apparatus of describing and manipulating meaning in natural language texts. Basic ontological-semantic analyzers take natural language texts as inputs and generate machine-tractable text meaning[…]
Abstract In this paper we present initial results from the METER (MEasuring TExt Reuse) project whose aim is to explore issues pertaining to text reuse and derivation, especially in the context of newspapers using newswire[…]
View Seminar Video Abstract Recently it has been shown that a simple learning paradigm, the support vector machine (SVM), outperforms elaborately tuned expert systems and neural networks in learning to recognize patterns from sparse training[…]
View Seminar Video Abstract The so-called “Tectrogrammatical” representation of natural language sentence structure will be described as it is being developed for the Prague Depepndency Treebank and used for the Czech, English and German languages,[…]
http://vimeo.com/30651421 View Seminar Video Abstract Joint work with Corinna Cortes and Mehryar Mohri. Kernel methods are widely used in statistical learning techniques due to their excellent performance and their computational efficiency in high-dimensional feature space.[…]
