We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
This paper describes SODA a novel ontology alignment method for the OWL-DL format. SODA uses a new approach that consists in computing local and semantic similarities among ontolog...
Sami Zghal, Sadok Ben Yahia, Engelbert Mephu Nguif...
Multiple sequence alignment is a central problem in Bioinformatics. A known integer programming approach is to apply branch-and-cut to exponentially large graph-theoretic models. T...
Steven David Prestwich, Desmond G. Higgins, Orla O...
We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...