Unsupervised grammar induction is one of the most difficult works of language processing. Its goal is to extract a grammar representing the language structure using texts without a...
To investigate whether Natural Language feedback improves learning, we developed two different feedback generation engines, that we systematically evaluated in a three way comparis...
Barbara Di Eugenio, Davide Fossati, Dan Yu, Susan ...
This paper describes the interaction among language resources for an adequate concept annotation of domain texts in several languages. The architecture includes domain ontology, d...
Existing approaches for querying OWL DL do either only operate on syntactic constructs without taking into account the semantics of OWL or do only have a restricted access to the T...
Alexander Kubias, Simon Schenk, Steffen Staab, Jef...
We explore a linguistically motivated approach to the problem of recognizing speculative language ("hedging") in biomedical research articles. We describe a method, whic...