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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">Dear Adam,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">There is also available a data-set of annotated terms, which are extracted from the ACL-ARC corpus[1]. It is not a multilingual dataset
but since the ACL ARC is available in the Sketch Engine [2], I though you may find it helpful.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">Candidate terms are extracted using a part-of-speech based filtering method and then are sorted by several different scores amongst
them the C-Value. The top-1000 extracted terms are then annotated.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">Terms are annotated at three different levels: invalid terms, valid terms, and technology terms. The technology terms are those valid
terms that refer to a “technology concept” in the domain of computational linguistics. For example:<o:p></o:p></span></p>
<p class="MsoListParagraph" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:#1F497D;mso-fareast-language:EN-US"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span dir="LTR"></span><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">Valid terms: natural language, parse tree, language model<o:p></o:p></span></p>
<p class="MsoListParagraph" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:#1F497D;mso-fareast-language:EN-US"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span dir="LTR"></span><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">Technology terms: machine translation, natural language processing<o:p></o:p></span></p>
<p class="MsoListParagraph" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><![if !supportLists]><span style="font-size:11.0pt;font-family:Symbol;color:#1F497D;mso-fareast-language:EN-US"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span dir="LTR"></span><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">Invalid terms: sex and violence, dr. smith, intended referent, % error rate<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">The statistics for the data-set currently reads:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">Size: 61609 terms annotated out of 1.5m terms
<o:p></o:p></span></p>
<p class="MsoNormal" style="text-indent:36.0pt"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">#Valid Terms: 18186<o:p></o:p></span></p>
<p class="MsoNormal" style="text-indent:36.0pt"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">#Amongst them are tech-tech: 12389<o:p></o:p></span></p>
<p class="MsoNormal" style="text-indent:36.0pt"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">#Invalid terms: 43423<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">A small number of terms (only 300) are annotated several times by a few number of students; therefore, an inter-annotator agreement
is also available from that data. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">Please find attached a sample of the top 1000 terms sorted descending by their C-Value score (annotatd_cvalue.cmpr_cvalue). If you
like to access the rest of the dataset please let me know.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">Best regards,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">Behrang<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">PS. Attached also is the list of terms unannotated, in case you want to compare your annotation with the annotated file (un_annotated__term.cmpr_cvalue.txt).<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">[1]
<a href="http://acl-arc.comp.nus.edu.sg/">http://acl-arc.comp.nus.edu.sg/</a> <o:p>
</o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">[2]
<a href="https://the.sketchengine.co.uk/bonito/run.cgi/first_form?corpname=preloaded/aclarc_1">
https://the.sketchengine.co.uk/bonito/run.cgi/first_form?corpname=preloaded/aclarc_1</a>;
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri","sans-serif"">From:</span></b><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri","sans-serif""> corpora-bounces@uib.no [mailto:corpora-bounces@uib.no]
<b>On Behalf Of </b>Sophia<br>
<b>Sent:</b> 19 February 2014 16:30<br>
<b>To:</b> Kevin B.Cohen<br>
<b>Cc:</b> corpora@hd.uib.no<br>
<b>Subject:</b> Re: [Corpora-List] Resources for evaluating term extraction<o:p></o:p></span></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Termine <a href="http://www.nactem.ac.uk/software/termine/">http://www.nactem.ac.uk/software/termine/</a> would give you candidate terms but these also would have to be evaluated.<o:p></o:p></p>
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<p class="MsoNormal">C-value upon which Termine is based, has been implemented for several languages, e.g. Spanish, Japanese, Chinese, etc.<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Sophia <o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">On 19 Feb 2014, at 16:00, Kevin B. Cohen wrote:<o:p></o:p></p>
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<o:p></o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt">Hi, Adam,<br>
<br>
I would recommend talking with Sophia Ananiadou, the creator of TerMine.<o:p></o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt">Kev<o:p></o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><o:p> </o:p></p>
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<p class="MsoNormal">On Wed, Feb 19, 2014 at 4:34 AM, Adam Kilgarriff <<a href="mailto:adam@lexmasterclass.com" target="_blank">adam@lexmasterclass.com</a>> wrote:<o:p></o:p></p>
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<p class="MsoNormal">Dear all,<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">The Sketch Engine now supports term extraction for many languages - and we want to evaluate it.<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">For that, we need domain corpora in which somebody has gone through identifying all the 'true' terms. Then we can compute our system's precision and recall.<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">We are aware of GENIA, for English, and are using that already (key citation here:<span style="color:black"> <a href="http://scholar.google.co.uk/citations?view_op=view_citation&hl=en&user=VsRwsN8AAAAJ&citation_for_view=VsRwsN8AAAAJ:u5HHmVD_uO8C" target="_blank"><span style="font-family:"Arial","sans-serif";background:#E8F4F7;text-decoration:none">A
comparative evaluation of term recognition algorithms</span></a> 2008: </span><span style="font-family:"Arial","sans-serif";background:#E8F4F7">Z Zhang, J Iria, CA Brewster, F Ciravegna) </span><o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Any corpus with "the terms it contains", conscientiously produced, will help us.<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Pointers please!<o:p></o:p></p>
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<p class="MsoNormal"><span style="color:#888888"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="color:#888888">Adam<br clear="all">
<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#888888"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="color:#888888">-- <br>
========================================<br>
<a href="http://www.kilgarriff.co.uk/" target="_blank">Adam Kilgarriff</a> <a href="mailto:adam@lexmasterclass.com" target="_blank">adam@lexmasterclass.com</a> <br>
Director <a href="http://www.sketchengine.co.uk/" target="_blank">Lexical Computing Ltd</a> <br>
Visiting Research Fellow <a href="http://leeds.ac.uk/" target="_blank">University of Leeds</a> <o:p></o:p></span></p>
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<p class="MsoNormal"><i><span style="color:#006600">Corpora for all</span></i><span style="color:#888888"> with
<a href="http://www.sketchengine.co.uk/" target="_blank">the Sketch Engine</a> <o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#888888"> <i><a href="http://www.webdante.com/" target="_blank">DANTE:
<span style="color:#009900">a lexical database for English</span></a></i></span><i><span style="color:#009900"> </span></i><i><span style="color:#888888"> </span></i><span style="color:#888888"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#888888">========================================<o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><o:p> </o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><br>
_______________________________________________<br>
UNSUBSCRIBE from this page: <a href="http://mailman.uib.no/options/corpora" target="_blank">
http://mailman.uib.no/options/corpora</a><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>
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<p class="MsoNormal"><br>
<br clear="all">
<br>
-- <o:p></o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt">Kevin Bretonnel Cohen, PhD<br>
Biomedical Text Mining Group Lead, Computational Bioscience Program, <br>
U. Colorado School of Medicine<br>
303-916-2417<br>
<a href="http://compbio.ucdenver.edu/Hunter_lab/Cohen" target="_blank">http://compbio.ucdenver.edu/Hunter_lab/Cohen</a><br>
<br>
<br>
<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:#232323">----------<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:#232323">Professor Sophia Ananiadou, School of Computer Science,<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:#232323">Director, National Centre for Text Mining<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:#232323">Manchester Institute of Biotechnology<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:#232323">University of Manchester<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:#232323">131 Princess Street, M1 7DN<o:p></o:p></span></p>
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<p class="MsoNormal"><u><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:#223CFB"><a href="http://www.nactem.ac.uk/">www.nactem.ac.uk</a></span></u><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:#223CFB"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:#232323"><a href="mailto:Sophia.Ananiadou@manchester.ac.uk">sophia.ananiadou@manchester.ac.uk</a></span><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:black"><a href="http://www.nactem.ac.uk/staff/sophia.ananiadou/">http://www.nactem.ac.uk/staff/sophia.ananiadou/</a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:#232323">tel: +44 (0)161 306 3092</span><span style="font-size:10.0pt;font-family:"Helvetica","sans-serif";color:black"><o:p></o:p></span></p>
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