Syntactic features play an essential role in identifying relationship in a sentence. Previous neural network models directly work on raw word sequences or constituent parse trees, thus often suffer from irrelevant information introduced when subjects and objects are in a long distance. In this paper, we propose to learn more robust relation representations from shortest dependency paths through...

The improvement of medical care quality is a significant interest for the future years. The fight against nosocomial infections (NI) in the intensive care units (ICU) is a good example. We will focus on a set of observations which reflect the dynamic aspect of the decision, result of the application of a Medical Decision Support System (MDSS). This system has to make dynamic decision on tempora...

Diagnosing ventilator-associated pneumonia in mechanically ventilated patients in intensive care units is currently seen as a clinical challenge. The difficulty in diagnosing ventilator-associated pneumonia stems from the lack of a simple yet accurate diagnostic test. To assist clinicians in diagnosing and treating patients with pneumonia, a decision-theoretic network was designed with the help...

many important and useful applications for software agents require multiple agents on a network that communicate with each other. we often use the word “agent” to describe people who have a helping or assistive relationship to us –– travel agents, secretaries, butlers. the job of such an agent is to act autonomously to satisfy goals that we may have, give us a greater sense of productivity and ...

In this paper, we present a recursive neural network (RNN) model that works on a syntactic tree. Our model differs from previous RNN models in that the model allows for an explicit weighting of important phrases for the target task. We also propose to average parameters in training. Our experimental results on semantic relation classification show that both phrase categories and task-specific w...

Time is an essential element in the clinical management of patients as disease processes develop in time. Not surprisingly, the amount of temporal clinical information that is being collected to understand what is happening in the patient is therefore continuously increasing. A typical example of a disease process where time is considered important is the development of ventilator-associated pn...