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Khresmoi Summary Translation Test Data for the Medical Domain version 2.0
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Apr 3, 2017
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Pavel Pecina <pecina@ufal.mff.cuni.cz>
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1. Description
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This package contains data sets for development (Section dev) and testing
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(Section test) of machine translation of sentences from summaries of medical
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articles between Czech, English, French, German, Hungarian, Polish, Spanish
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and Swedish.
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Version 2.0 extends the previous version by adding Hungarian, Polish,
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Spanish, and Swedish translations.
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2. Preamble
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2.1 Source
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The original sentences are sampled from summaries of English medical
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documents crawled from the web in 2012 and identified to be relevant to
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50 medical topics.
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The translations were carried out by the Charles University in Prague.
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Translations into Czech, French and German were completed in 2013.
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Translations into Hungarian, Polish, Spanish and Swedish were completed
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in 2016.
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2.2 License
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The Khresmoi Summary Test Set is made available under the terms of the
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Creative Commons Attribution-Noncommercial (CC-BY-NC) license, version
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4.0 unported. You may use them for academic research and all non-
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commercial purposes as long as the authors (cf. Section 4) are properly
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credited and sources acknowledged (cf. Section 6 and 7). See
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http://creativecommons.org/licenses/by-nc/4.0/ for a full description
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and explanation of the licensing terms.
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4. Authors
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Ondrej Dušek <odusek@ufal.mff.cuni.cz>,
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Jan Hajič <hajic@ufal.mff.cuni.cz>,
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Jaroslava Hlaváčová <hlavacova@ufal.mff.cuni.cz>,
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Jindřich Libovický <libovicky@ufal.mff.cuni.cz>,
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Pavel Pecina <pecina@ufal.mff.cuni.cz>,
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Aleš Tamchyna <tamchyna@ufal.mff.cuni.cz>,
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Zdeňka Urešová <uresova@ufal.mff.cuni.cz>
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Charles University in Prague
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Faculty of Mathematics and Physics
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Institute of Formal and Applied Linguistics
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Malostranské nám. 25
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118 00 Prague 1
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Czech Republic
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3. Data
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3.1 Description
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The original sentences in English were randomly selected from
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automatically generated summaries of documents from the CLEF 2013
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eHealth Task 3 collection [1] which were found to be relevant to 50
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test topics provided for the same task. Out-of-domain and ungrammatical
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sentences were manually removed. The sentences are provided with
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information on document ID and topic ID. The topic descriptions are
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provided as well. The sentences were translated by medical experts into
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Czech, French, German, Hungarian, Polish, Spanish and Swedish and
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reviewed. The data sets can be used, for example, for the development
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and testing of machine translation in the medical domain.
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3.2 Data format
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Translation data format follows these rules:
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* The data is provided in two formats: plain text and SGML. They are
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* split
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according to the section (dev/test) and language (CS - Czech, DE -
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German, FR - French, EN - English, HU - Hungarian, PL - Polish, ES -
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Spanish).
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* All the files use the UTF-8 encoding.
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* The plain text files contain one sentence per line and translations
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are identified by line numbers.
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* The SGML format suits the NIST MT scoring tool.
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Topic description format is based on XML, each topic description (<query>)
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contains the following tags:
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<id> - topic ID,
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<discharge_summary> - reference to discarge summary,
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<title> - text of the query,
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<desc> - longer description of what the query means,
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<narr> - expected content of the relevant documents,
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<profile> - profile of the user.
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3.3 Statistics (number of sentences and words for each language)
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------------------------------
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section dev test
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------------------------------
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sentences 500 1,000
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------------------------------
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Czech 9,209 19,191
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German 9,924 20,831
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French 12,369 26,183
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English 10,350 21,423
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Hungarian 8,236 16,686
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Polish 8,853 18,741
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Spanish 10,266 21,892
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Swedish 8,327 17,520
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------------------------------
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3.4 Files
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Section 1 (development data)
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khresmoi-summary-dev.en - original dev set sentences in English
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khresmoi-summary-dev.cs - Czech dev set translations
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khresmoi-summary-dev.de - German dev set translations
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khresmoi-summary-dev.es - Spanish dev set translations
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khresmoi-summary-dev.fr - French dev set translations
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khresmoi-summary-dev.hu - Hungarian dev set translations
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khresmoi-summary-dev.pl - Polish dev set translations
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khresmoi-summary-dev.sv - Swedish dev set translations
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khresmoi-summary-dev.en.sgm - original dev set in English (SGML format)
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khresmoi-summary-dev.cs.sgm - Czech dev set translations (SGML format)
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khresmoi-summary-dev.de.sgm - German dev set translations (SGML format)
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khresmoi-summary-dev.es.sgm - Spanish dev set translations (SGML format)
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khresmoi-summary-dev.fr.sgm - French dev set translations (SGML format)
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khresmoi-summary-dev.hu.sgm - Hungarian dev set translations (SGML format)
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khresmoi-summary-dev.pl.sgm - Polish dev set translations (SGML format)
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khresmoi-summary-dev.sv.sgm - Swedish dev set translations (SGML format)
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khresmoi-summary-dev.doc_id - document IDs of the dev set translations
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khresmoi-summary-dev.topic_id - topic IDs of the dev set translations
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Section 2 (test data)
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khresmoi-summary-test.en - original test set sentences in English
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khresmoi-summary-test.cs - Czech test set translations
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khresmoi-summary-test.de - German test set translations
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khresmoi-summary-test.es - Spanish test set translations
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khresmoi-summary-test.fr - French test set translations
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khresmoi-summary-test.hu - Hungarian test set translations
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khresmoi-summary-test.pl - Polish test set translations
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khresmoi-summary-test.sv - Swedish test set translations
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khresmoi-summary-test.en.sgm - original test set in English (SGML format)
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khresmoi-summary-test.cs.sgm - Czech test set translations (SGML format)
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khresmoi-summary-test.de.sgm - German test set translations (SGML format)
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khresmoi-summary-test.es.sgm - Spanish test set translations (SGML format)
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khresmoi-summary-test.fr.sgm - French test set translations (SGML format)
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khresmoi-summary-test.hu.sgm - Hungarian test set translations (SGML format)
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khresmoi-summary-test.pl.sgm - Polish test set translations (SGML format)
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khresmoi-summary-test.sv.sgm - Swedish test set translations (SGML format)
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khresmoi-summary-test.doc_id - document IDs of the test set translations
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khresmoi-summary-test.topic_id - topic IDs of the test set translations
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normalize-punctuation.pl - a script to normalize punctuation
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README.TXT - this file
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queries.clef2013ehealth.1-50.test.xml - topic descriptions
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5. Acknowledgments
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This work was supported by the EU FP7 project Khresmoi (European
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Commission contract No. 257528) and the EU H2020 project KConnect
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(European Commission contract No. 644753).
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The language resources are distributed by the LINDAT/Clarin project of
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the Ministry of Education, Youth and Sports of the Czech Republic
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(project no. LM2010013).
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We thank all the data providers and copyright holders (see Section 6
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and 7) for providing the source data and anonymous experts for
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translating the sentences.
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We thank the anonymous medical experts for translating and revising
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the data.
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6. Source web pages
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bestbets.org, canceraustralia.nbocc.org.au, cks.nhs.uk, clinicaltrial.gov,
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clinicianonnet.blogspot.com, clubderevistas.blogspot.com, copd.about.com,
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emergencymedic.blogspot.com, en.diagnosispro.com, ghr.nlm.nih.gov,
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marshfieldclinic.kramesonline.com, peripheralneuropathycenter.uchicago.edu,
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publications.nice.org.uk, webeye.ophth.uiowa.edu, web.mit.edu,
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wiki.medpedia.com, www.acidreflux-heartburn-gerd.net, www.ahaf.org,
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www.ahrq.gov, www.allinahealth.org, www.babycenter.ca, www.back.com,
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www.bccancer.bc.ca, www.cadth.ca, www.cancerquest.org,
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www.digestive.niddk.nih.gov, www.elginhealth.on.ca, www.emedicinezone.com,
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www.endoatlas.com, www.fda.gov, www.ghr.nlm.nih.gov, www.guideline.gov,
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www.heart-vessels.com, www.hipsforyou.com, www.hon.ch,
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www.innovations.ahrq.gov, www.irontherapy.org, www.jamesshuggins.com,
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www.marshfieldclinic.org, www.medhelp.org, www.mediscuss.org, www.mgh.org,
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www.ncbi.nlm.nih.gov, www.netwellness.org, www.nevasic.com, www.nlm.nih.gov,
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www.oncolink.com, www.orpha.net, www.pathguy.com, www.pathologyoutlines.com,
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www.pbfluids.com, www.pediatriceducation.org, www.qualitymeasures.ahrq.gov,
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www.randyamy.com, www.shoulderdoc.co.uk, www.skincaredaily.com,
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www.thevest.com, www.totalhealth.co.uk, www.tripanswers.org,
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www.uptodate.com, www.vitalhealthzone.com, www.voicedoctor.net,
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www.waent.org, www.webmd.boots.com, www.xrayrisk.com, www.yorkyates.com,
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www.yourhealth.net.au
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7. Copyright holders
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* Adaptedfrom a resource produced by Elgin St. Thomas Public Health.
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Distributed by LINDAT/Clarin, Czech Republic.
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* Agency for Healthcare Research and Quality (AHRQ)
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* Allcontents copyright © 2003-2013 Donna M. D'Alessandro, M.D. and Michael
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P. D'Alessandro, M.D. All rights reserved.
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* Copyright© BabyCenter, L.L.C. 2013. All rights reserved.
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* Copyright Shoulderdoc Ltd.
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* Copyright Trip database Limited.
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* Copyright© 1996-2012 Atlanta South Gastroenterology, P.C. All rights
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reserved.
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* Copyright© 2000-2013 BrightFocus Foundation. All rights reserved.
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* Copyright© 2003-2013 Donna M. D'Alessandro, M.D. and Michael P.
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D'Alessandro, M.D. All rights reserved.
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* Copyright© 2009 Boots UK Limited and WebMD UK Limited.
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* Copyright© 2010 AngioCalc, LLC. All rights reserved
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* Copyright© 2012 Allina Health System. All rights reserved.
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* Copyright© 2012 Marshfield Clinic. All Rights Reserved.
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* Copyright© 2013 BC Cancer Agency. All rights reserved.
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* Copyright© 2013 Medtronic. All Rights Reserved.
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* Copyright© 2013 UpToDate, Inc. All rights reserved.
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* Heart Vessels
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* Intellectual Property Office © Crown Copyright 2013
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* Iron Therapy
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* Marquette General Health System.
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* MedHelp
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* National Library of Medicine (NLM)
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* Orphanet: an online rare disease and orphan drug data base. Copyright,
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INSERM 1997. Available on http://www.orpha.net. Accessed July 2013.
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* © Pan American Health Organization. All rights reserved.
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* © Thyroid Cancer Canada/Cancer de la thyroïde Canada
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* Undercopyright of AcidReflux-Heartburn-Gerd.net
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* U.S. Food and Drug Administration
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* © 2000-2013 Hill-Rom Services, Inc. All Rights Reserved.
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* © 2013 Canadian Agency for Drugs and Technologies in Health
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8. References
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[1] L. Goeuriot, G. J. F. Jones, L. Kelly, J. Leveling, A. Hanbury,
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H. Müller, et al., ShARe/CLEF eHealth evaluation lab 2013, task 3:
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Information retrieval to address patients’ questions when reading
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clinical reports, in: D. T. Pamela Forner, Roberto Navigli (Ed.),
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CLEF 2013 Evaluation Labs and Workshop, Online Working Notes,
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Valencia, Spain, 2013.
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