23.3395, Jobs: Comp Ling: Senior Research Engineer (NLP), Nuance Communications

Tue Aug 14 14:34:35 UTC 2012

LINGUIST List: Vol-23-3395. Tue Aug 14 2012. ISSN: 1069 - 4875.

Subject: 23.3395, Jobs: Comp Ling: Senior Research Engineer (NLP), Nuance Communications

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Date: Tue, 14 Aug 2012 10:33:55
From:  None Given [EMEAJOBS at nuance.com]
Subject: Computational Linguistics: Senior Research Engineer (NLP), Nuance Communications, Merelbeke, Belgium

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University or Organization: Nuance Communications 
Job Location: Merelbeke, Belgium 
Web Address: http://www.nuance.com
Job Rank: Senior Research Engineer (NLP)  

Specialty Areas: Computational Linguistics 

Description:

At Nuance Communications, everything we do is focused on developing the 
most human, natural, intuitive ways to use your voice to take command of 
information. Our people and our technology have pioneered the highest 
functioning speech software in the world, ceaselessly perfecting the ability for 
machines to recognize and emulate the human voice. We design and deliver 
technologies that intuitively link man, machine and the global storehouse of 
knowledge to help companies and consumers work seamlessly and 
intelligently with the world.

Role: Senior Research Engineer (Natural Language Processing)
Location: Merelbeke, Belgium
REF: 7575

Job Description:
Computer Scientist in the Healthcare Research organization working on a 
state of the art clinical language understanding system in collaboration with 
IBM using SIRE toolkit.

Major duty is to conduct research on applying SIRE technology to Nuance 
Healthcare clinical language understanding products, run experiments, 
perform error analysis, engage with CLU product development team.

This research will focus on how to leverage available corpora, which is a mix 
of some labeled and largely unlabeled data - in a semantic interpretation task, 
combining techniques from across different fields such as statistical 
classification, information retrieval, stochastic parsing, machine learning and 
machine translation.

Some of the research work will be directed towards learning, training models 
from large, unlabeled data and some of the work will focus on automatic, 
corrective learning based on user feedback.

This research will also include improvements to several components such as 
segmenting and document structuring, parts of speech tagging, syntactic 
parsing, word sense disambiguation, semantic tagging and interpretation, 
normalizing extracted facts to standard code systems with or without 
underlying hierarchies and system confidence estimation.

This research will be conducted in the context of building a scalable, 
commercializable medical fact extraction system on top of available in-house 
resources and technologies - such as Ontologies, parsers, taggers etc There 
is also an opportunity to make the system robust to errors in system input, 
such those introduced by speech recognition systems while converting 
speech to text.

Improvements to this technology will be applied to deep question answering 
system (such as Watson for Healthcare).

Skills and Experience Required:
-  Minimum of 5 years of experience conducting research in large corpus 
based statistical classification, statistical machine translation or information 
retrieval techniques is required. Research in graduate school or post-doctoral 
position is acceptable.
-  In addition to the above techniques, research experience in machine 
learning, stochastic parsing, semantic tagging and confidence estimation 
techniques is highly desirable.
-  Experience in semi-supervised and unsupervised learning methods, 
corrective learning from feedback during product use is also highly desirable.
-  Programming experience in one or more of these languages is required: 
JAVA, C++, PERL, and/or Python.
-  Bash/Unix scripting skills are required.

Preferred Skills:
-  SQL or other Database knowledge is highly desirable.
-  Experience in medical text analytics and/or clinical information retrieval is a 
definite PLUS.

To apply, please visit the application URL below and enter reference number 
7575.

Application Deadline: 13-Feb-2013 (Open until filled)

Email Address for Applications: EMEAJOBS at nuance.com 
Web Address for Applications: http://www.nuance.com/careers 
Contact Information
	None Given 
	Email: EMEAJOBS at nuance.com 

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