Relation Discovery discovers predicates (relation types) from a text corpus relying on the co-occurrence of two named entities in the same sentence. This is a very narrowing constraint: it represents only a small fraction of all relation mentions in practice. In this paper we propose a high recall approach for predicate extraction which enables covering up to 16 times more sentences in a large ...

In this AMEE Guide, we consider the emergent theoretical and empirical work on human emotion and how this work can inform the theory, research, and practice of medical education. In the Guide, we define emotion, in general, and achievement emotions, more specifically. We describe one of the leading contemporary theories of achievement emotions, control-value theory (Pekrun 2006), and we disting...

OBJECTIVE To examine the associations between having a special health care need and school outcomes measured as attendance, student engagement, behavioral threats to achievement, and academic achievement. PARTICIPANTS AND METHODS A total of 1457 children in the fourth through sixth grades from 34 schools in 3 school districts and their parents provided survey data; parents completed the Child...

To move beyond current keyword-based approaches to document retrieval, we need to provide the user with a range of technologies for obtaining information and answering questions. One of these is information extraction (IE), which has the potential, for a limited range of requests, to provide more focused and comprehensive responses. IE has been constrained by limitations on the performance of n...

OBJECTIVES To determine whether children (and particularly sons) of women with systemic lupus erythematosus (SLE) during pregnancy are more likely to have learning disabilities (LD) and be non-right-handed, and if maternal disease variables (ie, presence of maternal antibodies, disease activity level, and use of corticosteroids) predict the prevalence of LD in offspring. DESIGN Case-controlle...

Abstract Introduction Pericardial effusion (PE) in patients with infective endocarditis (IE) has been shown to be an independent risk factor for severe complications, however no significant association mortality established. Our study aims the significance of pericardial IE. Methods We performed a retrospective analysis using United States National Inpatient Sample (NIS) database identify all h...

Elementary and middle school students who are blind or visually impaired (VI) lag up to three years behind non-disabled peers in mathematics achievement. We investigated the impact of academic supports in the school on mathematics achievement, controlling grade, gender, cognitive disability, and family SES. Data were from SEELS (Special Education Elementary Longitudinal Study) that followed a n...

Information extraction (IE) is a form of shallow text understanding that locates specific pieces of data in natural language documents. Although automated IE systems began to be developed using machine learning techniques recently, the performances of those IE systems still need to be improved. This paper describes an information extraction system based on transformation-based learning, which u...

In this paper, we describe our approach taken in the MSM2013 IE Challenge, which was aimed at concept extraction from microposts. The goal of the approach was to combine several existing NER tools which use different classification methods and benefit from their combination. Several NER tools have been chosen and individually evaluated on the challenge training set. We observed that some of the...