Every day the global media system produces an abundance of news stories, all containing many references to people. An important task is to automatically generate reliable lists of ...
Conventional sentence compression methods employ a syntactic parser to compress a sentence without changing its meaning. However, the reference compressions made by humans do not ...
Unknown lexical items present a major obstacle to the development of broadcoverage semantic role labeling systems. We address this problem with a semisupervised learning approach ...
The huge demand for ad-hoc and situational enterprise-class applications led to a new kind of Web-based applications, known as enterprise mashups. End users from the business units...
Florian Gilles, Volker Hoyer, Till Janner, Katarin...
We compare the performance of three statistical parsing architectures on the problem of deriving typed dependency structures for French. The architectures are based on PCFGs with ...
Marie Candito, Joakim Nivre, Pascal Denis, Enrique...