<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><br><div apple-content-edited="true">
<span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><div><div>[apologies for cross-posting]<br><br></div><div><br></div><div>******************************************************************<br>POSTDOC POSITION IN WORD SENSE DISAMBIGUATION<br>AT LIMSI-CNRS, Orsay (Paris area), FRANCE<br>******************************************************************<br><br></div><div>A postdoctoral position in Word Sense Disambiguation (WSD) is available at the LIMSI-CNRS lab.</div><div><br></div><div>The position is funded by the national (ANR) project TransRead (<a href="http://transread.limsi.fr/">http://transread.limsi.fr</a>) aimed at developing new multilingual text processing applications and facilitating the reading of multilingual documents for foreign language readers and learners.<br>The postdoctoral researcher will work on both data-driven and knowledge-based Word Sense Disambiguation methods exploiting information in parallel corpora and large-scale multilingual resources (such as BabelNet and Wiktionary). The disambiguation output will serve to facilitate foreign language reading by providing semantic annotations in different languages. Research results will also be exploited in other applications developed in the group, such as Machine Translation.</div><div><br></div><div>Requirements:<br><br>- Ph.D. (or completed by February 2014) in Computer Science, Natural Language Processing, Computational Linguistics<br>- Solid programming skills<br>- Experience with statistical approaches to semantics, cross-lingual methods for NLP or Statistical Machine Translation<br>- Strong publication record <br>- Fluent English<br><br>The successful candidate will join a dynamic research team working on various aspects of Statistical Machine Translation, Word Sense Disambiguation and paraphrasing. For information regarding our activities, see <a href="http://www.limsi.fr/Scientifique/tlp/mt/">http://www.limsi.fr/Scientifique/tlp/mt/</a><br><br></div><div>Duration: 12 months</div><div>Application deadline: Open until filled</div><div><br></div><div>Interested candidates should send their CV and the names and contact information of 2 referees to Marianna Apidianaki (<a href="mailto:marianna@limsi.fr">marianna@limsi.fr</a>). Informal inquiries can be sent to the same address.<br><br></div><div><br>About the LIMSI-CNRS<br><br>The LIMSI-CNRS lab is situated at Orsay, a green area 25 km south of Paris. A suburban train connects Orsay to Paris city center. Detailed information about the LIMSI lab can be found at <a href="http://www.limsi.fr/">http://www.limsi.fr</a><br><br><br>---</div><div><br>Marianna Apidianaki<br>CNRS Researcher<br>LIMSI, Orsay<br><a href="http://www.limsi.fr/~marianna">www.limsi.fr/~marianna</a><br><br></div><div><br></div></div></span></div></body></html>