We present a new approach to stochastic modeling of constraintbased grammars that is based on loglinear models and uses EM for estimation from unannotated data. The techniques are...
Stefan Riezler, Detlef Prescher, Jonas Kuhn, Mark ...
We propose a strategy to reduce the impact of the sparse data problem in the tasks of lexical information acquisition based on the observation of linguistic cues. It justifies tha...
Dynamic lexical acquisition is a procedure where the lexicon of an NLP system is updated automatically during sentence analysis. In our system, new words and new attributes are pr...
In this paper we will focus on the lexical-semantic relations in the German wordnet GermaNet. It has been shown that wordnets suffer from the relatively small number of relations ...
We present an implemented unification-based parser for relational grammars developed within the stratified feature grammar (SFG) framework, which generalizes Kasper-Rounds logic t...