This paper discusses the interpretation of nominalizations in domain independent wide-coverage text. We present a statistical model which interprets nominalizations based on the c...
We present a connectionist architecture and demonstrate that it can learn syntactic parsing from a corpus of parsed text. The architecture can represent syntactic constituents, an...
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
A system for the acquisition and management of reusable morphological dictionaries is clearly a useful tool for NLP. As such, most currently popular finite-state morphology system...
Pius ten Hacken, Stephan Bopp, Marc Domenig, Diete...
Automatic compilation of the linking relation employed in certain parsing algorithms for context-free languages is examined. Special problems arise in the extension of these algor...