Originally conceived as a "naive" baseline experiment using traditional n-gram language models as classifiers, the NCLEANER system has turned out to be a fast and lightw...
This paper presents the evaluation of the dictionary look-up component of Mayo Clinic's Information Extraction system. The component was tested on a corpus of 160 free-text c...
Karin Schuler, Vinod Kaggal, James J. Masanz, Phil...
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
In this paper, we propose a new phrase-based translation model based on inter-lingual triggers. The originality of our method is double. First we identify common source phrases. T...
Caroline Lavecchia, David Langlois, Kamel Smaï...
In clinical practice guidelines (CPGs) the medical information is stored in a narrative way. A large part of this information occurs in a negated form. The detection of negation in...