Web25 sep. 2008 · On the Medstract corpus our algorithm produced 97% precision and 85% recall which is higher than previously reported results. We also annotated 1250 randomly selected MEDLINE records as a gold standard. On this set we achieved 96.5% precision and 83.2% recall. This compares favourably with the well known Schwartz and Hearst … http://www.medstract.org/gold-standards.html/

Medstract Proceedings of BioNLP 2011 Workshop

Webthe relation identification algorithms to more accurately populate the Medstract database. 2 ACROMED: Materials and Methods 2.1 General Design of the Experiments We assume that acronym-meaning identification is a subclass of the alias identification problem, and that acronyms are a subtype of aliases. Webacronym-type abbreviations. An abbreviation-tagged literature corpus, called Medstract gold standard corpus, was used to evaluate the system. MBA achieved a recall of 88% at the precision of 91% on the Medstract gold-standard EVALUATION Corpus. Conclusion: We present a new literature mining system MBA for extracting biomedical abbreviations. poems about heartbreak

Towards a learning approach for abbreviation detection and resolution

Web29 jan. 2002 · Spanish translation: Tiempo de trombina/tromboplastina parcial (TTP) Es la más usada en los centros de hemodiálisis. La pauta más común a seguir es la administración de 1 mg/kg de peso de heparina sódica, como dosis inicial, y 0,5 mg/kg de peso cada dos horas, con la intención de lograr un tiempo de coagulación en tubo de 30 … WebA Supervised Abbreviation Resolution System for Medical Text Pierre Zweigenbaum 1, Louise Del eger , Thomas Lavergne , Aur elie N ev eol 1, and Andreea Bodnari;2 1 LIMSI-CNRS, rue John von Neumann, F-91400 Orsay, France 2 MIT, CSAIL, Cambridge, Massachusetts, USA Abstract. We present our participation in Task 2 of the 2013 CLEF- poems about her blue eyes