We present our participation in Task 2 of the 2013 CLEFeHEALTH Challenge, whose goal was to determine the UMLS concept unique identifier (CUI), if available, of an abbreviation or acronym. We hypothesize that considering only the abbreviations of the training corpus could be sufficient to provide a strong baseline for this task. We therefore test how a fully supervised approach, which predicts ...

In this paper we present results and conclusions of an initial study, intended to inform the design of a system to automatically reconstruct full sentences from abbreviated typed text. Such a system will reduce the number of keystrokes that cognitively-unimpaired users with motor disabilities need to input in order to communicate in full, rich language. A number of techniques for abbreviating m...

Text normalization is an important aspect of successful information retrieval from medical documents such as clinical notes, radiology reports and discharge summaries. In the medical domain, a significant part of the general problem of text normalization is abbreviation and acronym disambiguation. Numerous abbreviations are used routinely throughout such texts and knowing their meaning is criti...

We present an algorithm to disambiguate abbreviations in Medline abstracts using Support Vector Machines (SVM) and one sense per discourse hypothesis. In contrast to other work using SVM for natural language disambiguation which always depend on handcrafted training and testing data, the algorithm provided here automatically extracts the training and testing data through searching long form of ...

This index covers all technical items papers, correspondence, reviews, etc. that appeared in this periodical during 2001, and items from previous years that were commented upon or corrected in 2001. Departments and other items may be also covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author’s name. The ...

The article establishes the historical and linguistic origin of abbreviation VIP, analyzes creation original neolexes with this abbreviation, lexical meaning derived units estimated token-component which in last two decades founded word-formation system Ukrainian language. It is stated that social, political, economic changes society at beginning XXI century significantly influenced development...

Three of the most fundamental changes in US corporations since the early 1970s have been (1) the increase in the importance of organizational capital in production, (2) the increase in managerial income inequality, and (3) the increase in payouts to the owners. There is a unified explanation for these changes: The arrival and gradual adoption of information technology since the 1970s has stimul...

9h30: Session 1 (90 mn) Location and Tracking Supports and Services An Analysis of Navigation Algorithms for Smartphones using J2ME André C. Santos, Luìs Tarrataca, Joao M. P. Cardoso, Portugal FINDR: Low-Cost Indoor Positioning Using FM Radio Andrei Papliatseyeu, Niko Kotilainen, Oscar Mayora, Venet Osmani Digital Terrain Model Interpolation for Mobile Devices Using DTED Level 0 Elevation Data...

Source preference is the assertion that between two prospects yielding the same distribution of monetary rewards, decision makers may have a strict preference for one over the other. Evidence on the home bias reveals source preference strong enough to preclude investors from taking advantage of diversification opportunities. We show that the EUU model provides a suitable framework for analyzing...

The purpose of this research is to enhance an HMM-based named entity recognizer in the biomedical domain. First, we analyze the characteristics of biomedical named entities. Then, we propose a rich set of features, including orthographic, morphological, part-of-speech, and semantic trigger features. All these features are integrated via a Hidden Markov Model with back-off modeling. Furthermore,...