This paper describes the IBM systems for English Entity Discovery and Linking (EDL) and Spanish Entity Linking (EL) for the TAC 2014 Knowledge-Base Population track. We submitted two runs for both the EDL and Spanish EL tracks. The linking component of the EDL system achieved an F1 score of 85.0 on the benchmark MSNBC dataset while the Spanish system achieved a B3 + F1 score of 73.6 on the TAC ...

In this paper, we describe the University of Illinois (UI CCG) submission to the 2013 TAC KBP English Entity Linking (EL) and Slot Filler Validation (SFV) tasks. We developed two separate systems. Our Entity Linking system integrates an improved version of the Illinois Wikifier with additional functionality to identify and cluster entity mentions that do not correspond to entries in the referen...

purpose: to evaluate the efficacy of riboflavin administration and ultraviolet a (uva) cross-linking on advanced symptomatic bullous keratopathy (bk). methods: 10 patients with symptomatic pseudophakic bullous keratopathy (pbk) were included. slit-lamp examination, visual acuity, foreign body sensation (fbs) and corneal thickness as measured by pentacam, were performed before corneal cross-link...

patients with keratoconus constitute a large proportion of patients suffering from anterior segment disorders. as of this time, however, its pathogenesis has not yet been elucidated. a reduction in cross-link between collagen molecules has been observed in keratoconic eyes as compared to normal ones. present approaches only address refractive errors resulting from the abnormal abnormal corneal ...

Although entity linking is a widely researched topic, the same cannot be said for entity linking geared for languages other than English. Several limitations including syntactic features and the relative lack of resources prevent typical approaches to entity linking to be used as effectively for other languages in general. We describe an entity linking system that leverage semantic relations be...

In order to answer natural language questions over knowledge graphs, most processing pipelines involve entity and relation linking. Traditionally, entity linking and relation linking have been performed either as dependent sequential tasks or independent parallel tasks. In this paper, we propose a framework, called EARL, which performs entity linking and relation linking as a joint single task....