<div>Hi Naveed,</div> <div> </div> <div>I'm using the NooJ linguistic platform (cf. <A href="http://www.nooj4nlp.net/">www.nooj4nlp.net</A>) to recognize and tag biomedical named entities, in French.</div> <div> </div> <div>I developed a terminological dictionary of about 10 000 entries + a set of local grammars (finite state transducers) to annotate texts .... </div> <div> </div> <div>Then, we can use NooJ's regular expressions to extract biomedical named entities. Fro example:</div> <div><MEDIC> : <SPAN dir=ltr><SPAN lang=EN-US style="mso-fareast-language: EN-US"><FONT face=Times>matches all medical expressions / terms in the text</FONT></SPAN></SPAN></div> <div><MEDIC+Pneumologie>: <SPAN dir=ltr><SPAN lang=EN-US style="mso-fareast-language: EN-US"><FONT face=Times>matches all medical expressions / terms related to pneumology => appareil respiratoire (i.e. breathing tract), crise d'asthme (i.e. asthma attack),
...</FONT></SPAN></SPAN></div> <div> </div> <div> </div> <div>Best,</div> <div> </div> <div>Slim <BR><BR><BR><B><I>"Afzal, Naveed" <N.Afzal@wlv.ac.uk></I></B> a écrit :</div> <BLOCKQUOTE class=replbq style="PADDING-LEFT: 5px; MARGIN-LEFT: 5px; BORDER-LEFT: #1010ff 2px solid"> <META content="MSHTML 6.00.2900.3157" name=GENERATOR> <DIV><FONT face=Arial size=2><SPAN class=614490210-16102007>I am looking for the Unsupervised Named Entity Tagger for Biomedical domain. Can any one please suggest any relative literature or tool for this purpose.</SPAN></FONT></DIV> <DIV><FONT face=Arial size=2><SPAN class=614490210-16102007>Thanks.</SPAN></FONT></DIV> <DIV><FONT face=Arial size=2><SPAN class=614490210-16102007></SPAN></FONT> </DIV> <DIV><FONT face=Arial size=2><SPAN class=614490210-16102007>Naveed</SPAN></FONT></DIV>_______________________________________________<BR>Corpora mailing
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