OBJECTIVE Physicians have been surveyed concerning their satisfaction with poison center services but have never been questioned regarding their expectations. This study was conducted to clarify the expectations of emergency physicians in New Mexico regarding the service of their regional poison center, the New Mexico Poison and Drug Information Center. DESIGN Five New Mexico emergency depart...

BACKGROUND Trauma systems reduce mortality and improve functional outcomes from injury. Regional trauma networks have been established in several European regions to address longstanding deficiencies in trauma care. A perception of the geography and population distribution as challenging has delayed the introduction of a trauma system in Scotland. The characteristics of trauma incidents attende...

This paper addresses the problem of the development of Arabic Natural Language Interface for Information System Design. Most Arabic systems focus on processing Arabic text for machine translation or information retrieval. We present in this paper some aspects for identify Entities and Relationships from a description of the application domain given with a subset of the Arabic Natural Language. ...

Clausally introduced entities in English are more frequently accessible to reference with a demonstrative pronoun than with the personal pronoun it. This fact can be explained on the assumption that such entities are typically activated, but not brought into focus, immediately subsequent to their introduction into a discourse. However, clausally introduced entities are, in fact, sometimes refer...

The task of named entity annotation of unseen text has recently been successfully automated with near-human performance. But the full task involves more than annotation, i.e. identifying the scope of each (continuous) text span and its class (such as place name). It also involves grounding the named entity (i.e. establishing its denotation with respect to the world or a model). The latter aspec...

We present a novel neural network model for entity linking that exploits distributed representations of users, mentions, and entities. • Our system leverages social network structures by utilizing entity homophily to improve entity disambiguation. • Our neural network model is on par with the tree-based model (Yang and Chang 2015) with surface features, but it is much easier to add additional i...

In information extraction, we often wish to identify all mentions of an entity, such as a person or organization. Traditionally, a group of words is labeled as an entity based only on local information. But information from throughout a document can be useful; for example, if the same word is used multiple times, it is likely to have the same label each time. We present a CRF that explicitly re...