A novel random text generation model is introduced. Unlike in previous random text models, that mainly aim at producing a Zipfian distribution of word frequencies, our model also ...
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...
Interests to realize semantic frames databases as a stable starting point in developing semantic knowledge based systems exists in countries such as Germany (the Salsa project), E...
An increasing number of NLP tasks require semantic labels to be assigned, not only to entities that appear in textual elements, but to the relationships between those entities. In...
This paper describes a probabilistic answer selection framework for question answering. In contrast with previous work using individual resources such as ontologies and the Web to...