Event extraction (EE) is a crucial research task for promptly apprehending event information
from massive textual data. With the rapid development of deep learning, EE based on deep …

Understanding events entails recognizing the structural and temporal orders between event
mentions to build event structures/graphs for input documents. To achieve this goal, our …

Event is a common but non-negligible knowledge type. How to identify events from texts,
extract their arguments, even analyze the relations between different events are important …

Objectives To provide an overview of the problem of temporal reasoning over clinical text
and to summarize the state of the art in clinical natural language processing for this task …

TempEval is a framework for evaluating systems that automatically annotate texts with
temporal relations. It was created in the context of the SemEval 2007 workshop and uses the …

This paper analyzes the contribution of semantic roles to TimeML event recognition and
classification. For that purpose, an approach using conditional random fields with a variety of …

Após o encontro do Segundo HAREM realizado no dia 7 de Setembro de 2008, em Aveiro,
demos início ao processo de edição da presente obra, que documenta o Segundo HAREM …

Leon RA Derczynski Page 1 Studies in Computational Intelligence 677 Leon RA Derczynski
Automatically Ordering Events and Times in Text Page 2 Studies in Computational Intelligence …

Important information for public health is contained within Electronic Health Records (EHRs).
The vast majority of clinical data available in these records takes the form of narratives …

Cette thèse s' intéresse au lexique scientifique transdisciplinaire (LST), lexique inscrit dans
le genre de l'article de recherche en sciences humaines et sociales. Le LST est …