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<TITLE>Postdoc position for machine learning applied to information extraction</TITLE>
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<P><FONT SIZE=2>We are looking for three post-doctoral research fellows interested in<BR>
working on the application of information extraction (IE) in natural<BR>
language processing (NLP), using approaches such as unsupervised, semi-<BR>
supervised, active or transfer learning. The goal of the project is to<BR>
develop technologies for (1) an adaptive IE system that adapts to new<BR>
domains or templates with little or no training data, or (2) an IE<BR>
system capable of discovering IE templates in an unannotated corpus.<BR>
<BR>
The principal investigator of this project is Dr. Hai Leong Chieu (DSO<BR>
National Laboratories), with the following collaborators<BR>
1) Assoc Prof Wee Sun Lee, National University of Singapore (NUS)<BR>
2) Asst Prof Jing Jiang, Singapore Management University (SMU), and<BR>
3) Asst Prof Ivor Tsang, Nanyang Technological University (NTU).<BR>
<BR>
Successful candidates will work in Singapore, in either NUS, SMU or<BR>
NTU during a two years duration, starting around *June 2010*.<BR>
<BR>
There is a strong research community in Singapore, particularly in the<BR>
area of NLP. Leading conferences in NLP such as SIGIR-2008 and<BR>
ACL-2009 were or will be held in Singapore. Singapore is a cosmopolitan<BR>
city situated at the crossroad of Southeast Asia. It represents a blend<BR>
of cultures, customs, and, very importantly in Singapore, cuisines.<BR>
More information about Singapore is available at <A HREF="http://www.sg/">http://www.sg/</A>.<BR>
<BR>
This is a two-year postdoc position. Candidates should have strong<BR>
computational background in areas such as machine learning or natural<BR>
language processing. Interested candidates should send a C.V. to Hai<BR>
Leong Chieu at chaileon@dso.org.sg.<BR>
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