Robot-assisted minimally invasive surgery is the gold standard for the surgical treatment of
many pathological conditions since it guarantees to the patient shorter hospital stay and …

Objective Semantic role labeling (SRL), which extracts a shallow semantic relation
representation from different surface textual forms of free text sentences, is important for …

Robot-Assisted minimally invasive surgery is the gold standard for the surgical treatment of
many pathological conditions, and several manuals and academic papers describe how to …

Semantic role labeling (SRL), which extracts shallow semantic relation representation from
different surface textual forms of free text sentences, is important for understanding clinical …

Operative notes contain essential details of surgical procedures and are an important form of
clinical documentation. Sections within operative notes segment provide high level note …

Source-Free Transductive Transfer Learning for Structured Prediction Page 1 Source-Free
Transductive Transfer Learning for Structured Prediction by Kemal Maulana Kurniawan …

The latest generation of robotic systems is becoming increasingly autonomous due to
technological advancements and artificial intelligence. The medical field, particularly …

Se describe un método para el análisis automático de estructuras argumentales (EA) del
dominio médico EAMed, del español, a partir del marco teórico de la léxico-gramática, que …

We present an active learning method for placing the event mentions in an operative note
into a pre-specified event structure. Event mentions are first classified into action, peripheral …

Аннотация Маркировка семантических ролей (SemanticRoleLabeling, SLR) извлекает
поверхностное представление смыслов и их отношений из различных текстов …