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A Flexible,Corpus-Driven Model of Regular and Inverse Selectional Preferences
Flexible Corpus-Driven Model Regular Inverse Selectional Preferences
2015/9/8
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...
Co-occurrence Retrieval:A Flexible Framework for Lexical Distributional Similarity
Co-occurrence Retrieval Flexible Framework Lexical Distributional Similarity
2015/8/31
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...
Foundation of a Component-based Flexible Registry for Language Resources and Technology
Flexible Registry Language Resources Technology
2015/4/3
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...
FLEXIBLE MULTI-STREAM FRAMEWORK FOR SPEECH RECOGNITION USING MULTI-TAPE FINITE-STATE TRANSDUCERS
FLEXIBLE MULTI-STREAM FRAMEWORK SPEECH RECOGNITION MULTI-TAPE FINITE-STATE TRANSDUCERS
2014/11/27
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 ...