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We present a vector space–based model for selectional preferences that predicts plausibility scores for argument headwords. It does not require any lexical resources (such as WordNet). It can be train...
Techniques that exploit knowledge of distributional similarity between words have been proposed in many areas of Natural Language Processing. For example, in language modeling, the sparse data problem...
Within the CLARIN e-science infrastructure project it is foreseen to develop a component-based registry for metadata for Language Resources and Language Technology. With this registry it is hoped to o...
We present an approach to general multi-stream recognition utilizing multi-tape finite-state transducers (FSTs). The approach is novel in that each of the multiple “streams” of features can represent ...

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