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</o:shapelayout></xml><![endif]--></head><body lang=EN-GB link=blue vlink=purple style='tab-interval:36.0pt'><div class=WordSection1><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'>Dear Johannes,<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'>I believe that the <a href="http://ipsc.jrc.ec.europa.eu/index.php?id=60">JRC EuroVoc Indexer software JEX</a> does more or less what you are looking for. It indexes new documents according to the controlled vocabulary wide-coverage thesaurus EuroVoc (which consists of over 6000 classes/categories/descriptors) by performing a profile-based category ranking task, i.e. it first recognises the statistically salient words in the new document and then compares these to the pre-generated category profiles, consisting of words and their weights. The JEX software is freely downloadable from <a href="http://ipsc.jrc.ec.europa.eu/index.php?id=60">http://ipsc.jrc.ec.europa.eu/index.php?id=60</a>, together with the document collection it has been trained on. You can also re-train JEX using your own document collection. JEX has been pre-trained for 22 languages, on tens of thousands of documents each. The software is described in the paper:<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal style='margin-left:36.0pt'><span style='font-size:11.0pt;font-family:"Calibri","sans-serif"'>Steinberger Ralf, Mohamed Ebrahim & Marco Turchi (2012). <b><a href="http://www.lrec-conf.org/proceedings/lrec2012/pdf/875_Paper.pdf">JRC EuroVoc Indexer JEX - A freely available multi-label categorisation tool</a>.</b> Proceedings of the 8th international conference on Language Resources and Evaluation (LREC'2012), pp. 798-805, Istanbul, 21-27 May 2012. Available at <a href="http://www.lrec-conf.org/proceedings/lrec2012/pdf/875_Paper.pdf">http://www.lrec-conf.org/proceedings/lrec2012/pdf/875_Paper.pdf</a>, <span style='color:#1F497D'><o:p></o:p></span></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'>where you also find references to related work. <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'>The 22 languages covered are: Bulgarian, Czech, Danish, Dutch, English, Estonian, German, Greek, Finnish, French, Hungarian, Italian, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovene, Spanish and Swedish. <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'>I hope this helps.<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'>All the best,<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'><br>Ralf<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-family:"Arial","sans-serif";color:navy;mso-no-proof:yes'><o:p> </o:p></span></p><p class=MsoNormal><b><span style='font-size:8.0pt;font-family:"Arial","sans-serif";color:#632423;mso-no-proof:yes'>Ralf Steinberger (</span></b><span style='font-size:8.0pt;font-family:"Arial","sans-serif";color:#632423;mso-no-proof:yes'>Ralf.Steinberger@jrc.ec.europa.eu<b>)</b></span><b><span style='font-size:7.0pt;font-family:"Arial","sans-serif";color:#632423;mso-no-proof:yes'> <br></span></b><span style='font-size:7.0pt;font-family:"Arial","sans-serif";color:#632423;mso-no-proof:yes'>European Commission - Joint Research Centre (JRC)<br>IPSC - GlobeSec - OPTIMA (OPensource Text Information Mining and Analysis)<br>URL - Applications: <a href="http://emm.newsbrief.eu/overview.html">http://emm.newsbrief.eu/overview.html</a><br>URL - The science behind them: <a href="http://langtech.jrc.it/" title="http://www.jrc.it/langtech"><span style='color:#632423'>http://langtech.jrc.ec.europa.eu</span></a><br>T.P. 267, Via Fermi 2749<br>21027 Ispra (VA), Italy<br>Tel: +39 0332 78-6271<br>Fax: +39 0332 78-5154<br>Secretary: +39 0332 78-5648 or 9478<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";mso-bidi-font-family:Arial;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-size:10.0pt;font-family:"Tahoma","sans-serif";mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US'>From:</span></b><span lang=EN-US style='font-size:10.0pt;font-family:"Tahoma","sans-serif";mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US'> corpora-bounces@uib.no [mailto:corpora-bounces@uib.no] <b>On Behalf Of </b>Johannes Hellrich<br><b>Sent:</b> 24 February 2014 13:26<br><b>To:</b> corpora@uib.no; adam@lexmasterclass.com<br><b>Subject:</b> Re: [Corpora-List] Summary: resources for evaluating term extraction<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><div><p class=MsoNormal>Dear all,<o:p></o:p></p><div><p class=MsoNormal style='margin-bottom:12.0pt'><br>is anyone aware of a resource for grounded term extraction, i.e. linking the newly extracted terms to an existing ontology/thesaurus/... ?<br>Thanks,<br><br>Johannes<br><br><br>> Message: 5<br>> Date: Mon, 24 Feb 2014 10:29:09 +0000<br>> From: Adam Kilgarriff <<a href="mailto:adam@lexmasterclass.com">adam@lexmasterclass.com</a>><br>> Subject: Re: [Corpora-List] Summary: resources for evaluating term<br>> extraction<br>> To: "<a href="mailto:corpora@hd.uib.no">corpora@hd.uib.no</a>" <<a href="mailto:corpora@hd.uib.no">corpora@hd.uib.no</a>><br>><br>> Apologies - I missed out<br>><br>> 6. María José Marín Pérez has created a corpus of legal English (BLARC)<br>> and has used it for extensive term-extraction<br>> experiments, and can provide both the corpus and the lists of terms (ppaer<br>> submitted to COLING)<br>><br>> Adam<br>><br>><br>> On 24 February 2014 10:16, Adam Kilgarriff <<a href="mailto:adam@lexmasterclass.com">adam@lexmasterclass.com</a>> wrote:<br>><br>>> Dear all<br>>><br>>> here is a summary of responses to my request for resources for evaluating<br>>> term extraction.<br>>><br>>> 1. TTC project has prepared corpora and terms for 2 domains and seven<br>>> languages: see<br>>><br>>> <a href="http://www.lina.univ-nantes.fr/?Reference-Term-Lists-of-TTC.html" target="_blank">http://www.lina.univ-nantes.fr/?Reference-Term-Lists-of-TTC.html</a><br>>><br>>> Thanks to Anne Schumann<br>>><br>>> 2 ACL Anthology corpus has been marked up with "valid terms" and<br>>> "technology terms".<br>>> Thanks to Behrang Qasemizadeh<br>>><br>>> 3. Georgeta Bordea says:<br>>> In our previous work [1] done in the context of the Saffron project [2] we<br>>> were interested in cross-domain evaluation of term extraction. Because we<br>>> did not find other datasets similar to GENIA we relied on datasets<br>>> annotated for keyphrase extraction [3] and index term assignment [4]<br>>> which are more abundant.<br>>><br>>> [1]<br>>> <a href="https://lipn.univ-paris13.fr/tia2013/Proceedings/actesTIA2013.pdf#page=59" target="_blank">https://lipn.univ-paris13.fr/tia2013/Proceedings/actesTIA2013.pdf#page=59</a><br>>> [2] <a href="http://saffron.deri.ie/" target="_blank">http://saffron.deri.ie/</a><br>>> [3] <a href="https://github.com/snkim/AutomaticKeyphraseExtraction" target="_blank">https://github.com/snkim/AutomaticKeyphraseExtraction</a><br>>> [4] <a href="http://code.google.com/p/maui-indexer/wiki/Resources" target="_blank">http://code.google.com/p/maui-indexer/wiki/Resources</a><br>>><br>>><br>>> 4. Kevin Cohen and Sophia Ananiadou pointed to resources related to the<br>>> Termine tool: however they did not include reference lists of 'gold<br>>> standard' terms.<br>>><br>>> 5. Viktor Pekar pointed to a SemEval task which included "aspect term<br>>> extraction" in the domain of restaurant reviews, by which they mean<br>>> "service" and "staff" in the sentence "I liked the service and the staff".<br>>> see <a href="http://alt.qcri.org/semeval2014/task4/" target="_blank">http://alt.qcri.org/semeval2014/task4/</a> This wasn't quite what we<br>>> were looking for.<br>>><br>>> Thanks all<br>>><br>>> Adam<br>>><br>>> ========original post====================<br>>> Date: Wed, 19 Feb 2014 11:34:36 +0000<br>>> Subject: [Corpora-List] Resources for evaluating term extraction<br>>><br>>> Dear all,<br>>><br>>> The Sketch Engine now supports term extraction for many languages - and we<br>>> want to evaluate it.<br>>><br>>> For that, we need domain corpora in which somebody has gone through<br>>> identifying all the 'true' terms. Then we can compute our system's<br>>> precision and recall.<br>>><br>>> We are aware of GENIA, for English, and are using that already (key<br>>> citation here: A comparative evaluation of term recognition<br>>> algorithms. 2008: Z Zhang, J Iria, CA Brewster, F Ciravegna)<br>>><br>>> Any corpus with "the terms it contains", conscientiously produced, will<br>>> help us.<br>>><br>>> Pointers please!<br>>><br>>> Adam<br>>> --<br>>> ========================================<br>>> Adam Kilgarriff <<a href="http://www.kilgarriff.co.uk/" target="_blank">http://www.kilgarriff.co.uk/</a>><br>>> <a href="mailto:adam@lexmasterclass.com">adam@lexmasterclass.com</a><br>>> Director Lexical Computing Ltd<<a href="http://www.sketchengine.co.uk/" target="_blank">http://www.sketchengine.co.uk/</a>><br>>><br>>> Visiting Research Fellow University of Leeds<<a href="http://leeds.ac.uk" target="_blank">http://leeds.ac.uk</a>><br>>><br>>> *Corpora for all* with the Sketch Engine <<a href="http://www.sketchengine.co.uk" target="_blank">http://www.sketchengine.co.uk</a>><br>>><br>>> *DANTE: a lexical database for English<br>>> <<a href="http://www.webdante.com" target="_blank">http://www.webdante.com</a>> *<br>>> ========================================<br>>><br>><br>><br>><br>> --<br>> ========================================<br>> Adam Kilgarriff <<a href="http://www.kilgarriff.co.uk/" target="_blank">http://www.kilgarriff.co.uk/</a>><br>> <a href="mailto:adam@lexmasterclass.com">adam@lexmasterclass.com</a><br>> Director Lexical Computing<br>> Ltd<<a href="http://www.sketchengine.co.uk/" target="_blank">http://www.sketchengine.co.uk/</a>><br>><br>> Visiting Research Fellow University of<br>> Leeds<<a href="http://leeds.ac.uk" target="_blank">http://leeds.ac.uk</a>><br>><br>> *Corpora for all* with the Sketch Engine <<a href="http://www.sketchengine.co.uk" target="_blank">http://www.sketchengine.co.uk</a>><br>><br>> *DANTE: a lexical database for English<br>> <<a href="http://www.webdante.com" target="_blank">http://www.webdante.com</a>> *<br>> ========================================<br>> -------------- next part --------------<br>> A non-text attachment was scrubbed...<br>> Name: not available<br>> Type: text/html<br>> Size: 12364 bytes<br>> Desc: not available<br>> URL: <<a href="http://www.uib.no/mailman/public/corpora/attachments/20140224/609438bd/attachment.txt" target="_blank">http://www.uib.no/mailman/public/corpora/attachments/20140224/609438bd/attachment.txt</a>><br>><br>> ----------------------------------------------------------------------<br>> Send Corpora mailing list submissions to<br>> <a href="mailto:corpora@uib.no">corpora@uib.no</a><br>><br>> To subscribe or unsubscribe via the World Wide Web, visit<br>> <a href="http://mailman.uib.no/listinfo/corpora" target="_blank">http://mailman.uib.no/listinfo/corpora</a><br>> or, via email, send a message with subject or body 'help' to<br>> <a href="mailto:corpora-request@uib.no">corpora-request@uib.no</a><br>><br>> You can reach the person managing the list at<br>> <a href="mailto:corpora-owner@uib.no">corpora-owner@uib.no</a><br>><br>> When replying, please edit your Subject line so it is more specific<br>> than "Re: Contents of Corpora digest..."<br>><br>><br>> _______________________________________________<br>> Corpora mailing list<br>> <a href="mailto:Corpora@uib.no">Corpora@uib.no</a><br>> <a href="http://mailman.uib.no/listinfo/corpora" target="_blank">http://mailman.uib.no/listinfo/corpora</a><o:p></o:p></p></div><p class=MsoNormal><o:p> </o:p></p></div></div></body></html>