Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
Most state-of-the-art evaluation measures for machine translation assign high costs to movements of word blocks. In many cases though such movements still result in correct or alm...
We present Tefkat, an implementation of a language designed specically for the transformation of MOF models using patterns and rules. The language adopts a declarative paradigm, w...
This paper addresses a problem of natural language text alignment, from a humanities discipline called textual genetic criticism where different text versions must be compared. The...
Extracting semantic relations among entities is an important first step in various tasks in Web mining and natural language processing such as information extraction, relation de...