Received: from EDRC.CMU.EDU by A.GP.CS.CMU.EDU id aj10587; 12 Feb 96 10:57:54 EST Received: from rsuni.crn.cogs.susx.ac.uk by EDRC.CMU.EDU id aa03676; 12 Feb 96 10:03:52 EST Received: by rsuni.crn.cogs.susx.ac.uk (Smail3.1.29.1 #3) id m0tlzIu-00053SC; Mon, 12 Feb 96 14:32 GMT Message-Id: Subject: Job: 2 jobs for computational linguists To: nl-kr@cs.rpi.edu, sigparse@cs.cmu.edu, empiricists@csli.stanford.edu, corpora@nora.hd.uib.no, elsnet-list@cogsci.ed.ac.uk, salt@essex.ac.uk, aisb@cogs.sussex.ac.uk, ai+lisp-jobs@cs.cmu.edu, laws@ai.sri.com, acl@cs.columbia.edu, aaai@sumex-aim.stanford.edu Date: Mon, 12 Feb 1996 14:32:32 +0000 (GMT) From: "David Weir" MIME-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit Content-Length: 1709 Sender: ai@A.GP.CS.CMU.EDU UNIVERSITY OF SUSSEX SCHOOL OF COGNITIVE AND COMPUTING SCIENCES Two Research Posts Available We are looking for two full-time postdoctoral research assistants to work on an EPSRC-funded 3-year project entitled `Analysis of Naturally-occurring English Text with Stochastic Lexicalized Grammars'. Our goal is to develop a robust wide-coverage parsing system capable of accurate analysis of naturally-occurring English text to the logical-form level. This work will exploit a combination of statistical techniques involving online corpora, inheritance hierarchies for imposing structure on NLP data, and lexicalised grammars. Preference will be given to applicants with a PhD in Computational Linguistics and good programming skills (preferably including LISP or C). Experience of developing tools for language engineering would also be an advantage. Both appointments will be made on the RA 1A scale (#14317 - #21519) with USS superannuation. Further details about the project can be found at http://www.cogs.susx.ac.uk/lab/nlp/dtg/details.html. Information about the NLP group at the University of Sussex can be found at http://www.cogs.susx.ac.uk/lab/nlp/index.html. Contact the grant-holders (see below) for specific queries. Applications should be submitted via email and should include a latex source/postscript CV and the names and email addresses of three referees. David Weir david.weir@cogs.susx.ac.uk http://www.cogs.susx.ac.uk/lab/nlp/weir/weir.html John Carroll john.carroll@cogs.susx.ac.uk http://www.cogs.susx.ac.uk/lab/nlp/carroll/carroll.html School of Cognitive and Computing Sciences, University of Sussex Brighton, BN1 9QH UK ------------------------------------------------------------------------------- This message | Submissions ai+lisp-jobs@cs.cmu.edu was sent via | Subscribe/Unsubscribe ai+query@cs.cmu.edu the LISP-JOBS | Available mailing lists include mailing list. | AI-JOBS, LISP-JOBS, PROLOG-JOBS, AI-POSTDOC, AI-PREDOC