Evaluating Resources / Regional Ethical Review / Australian Computer Society Inc. / International Journal / SEPR-X / SEPR / MEDLINE / Baseline / /
Country
Sweden / /
Currency
IDR / / /
Event
Product Issues / M&A / Product Recall / /
Facility
Columbia University / Uppsala University / Stockholm University / /
IndustryTerm
heuristics-based clinical abbreviation detection tool / text mining / inexact pattern-matching algorithm / biomedical applications / clinical abbreviation detection software / hybrid text mining approach / food / social media / information extraction systems / Rule-based systems / word space algorithms / post-processing / natural language processing / beverage busi94 / online dictionary / longest common subsequence algorithm / /
Organization
Stockholm University / American Medical Informatics Association / Columbia University / Cognitive Science Society / European Chapter of Chinese Linguistics / European Chapter / Department of Computer and System Sciences / Swedish Foundation for Strategic Research / Department of Linguistics / Swedish Medical Association / Australian Computer Society / office of Educational Research and Improvement / Uppsala University / Department of Linguistics and Philology / Association for Computational Linguistics / /
Person
Aron Henriksson / Martin Duneld / Lisa Tengstrand / M. Skeppstedt / V / A. Eklund / V / Maria Kvist / /
Position
Prime Minister / author / /
Product
average / Corpus SUC LTK SEPR / percentage points / scores / development sets / score / /
PublishedMedium
Computational Linguistics / /
Technology
Two word space algorithms / Bioinformatics / X-ray / inexact pattern-matching algorithm / machine learning / Natural Language Processing / subsequence algorithm / Data Mining / /
EACL - Expansion of Abbreviations in CLinical text Lisa Tengstrand*, Be´ata Megyesi*, Aron Henriksson+ , Martin Duneld+ and Maria Kvist+ *Department of Linguistics and Philology, Uppsala University, Sweden tengstrand@li