Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
In the novelty task on sentence level, the amount of information used in similarity computation is the major challenging issue. A shallow NLP approach extracts noun and verb featu...
The aim of this paper is to provide a general ontology that allows the specification of trust requirements in the Semantic Web Services environment. Both client and Web Service can...
Text corpora are often enhanced by additional metadata which relate real-world entities, with each document in which such entities are discussed. Such relationships are typically ...
Albert Angel, Surajit Chaudhuri, Gautam Das, Nick ...