[Corpora-List] Post-doctoral position in Natural Language Modelling in Singapore (NTU)

[Francis Bond]

G'day,

we are looking for a post-doc interested in combining lexical and
structural semantics (wordnet meets HPSG)!  Read below for details:

University or Organization: Nanyang Technological University
Department:   Linguistics and Multilingual Studies
          Computational Linguistics Lab
Job Location: Singapore
Web Address:  http://compling.hss.ntu.edu.sg/

Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Natural Language
Understanding; Machine Translation

Description:

Post Doc Researcher Natural Language Modeling

Context

The Division of Linguistics and Multilingual Studies (LMS) at NTU
seeks a post-doctoral fellow for research on semantic representation
as part of the project “That’s what you meant: An Integrated Semantic
Framework for Representing Meaning” (abstract below).  The
postdoctoral fellow will work with Francis Bond
<http://www3.ntu.edu.sg/home/fcbond/>.

Duties and Responsibilities:

(1) Responsible for coordinating the project
a. Test the design for an Integrated Semantic Framework
b. Help instantiate grammars for Chinese, English and Japanese
c. Evaluate with disambiguation models for these three grammars
d. Compile transfer grammars for Japanese and Chinese to English machine
translation

(2) Postdoctoral fellows may be required to assist in teaching, up to the
equivalent of one semester-based course per academic year.


Requirements and Profile:

(1) PhD in Computational Linguistics, Linguistics, Computer Science,
Cognitive Science, or a related discipline.

(2) Experience with both symbolic and statistical NLP, e.g.:
 * Language modeling, especially semantic modeling
 * parsing with Head-driven Phrase Structure Grammar (HPSG)
 * machine translation

(3) Knowledge of Chinese and Japanese highly desirable.

Appointment:

The duration of the position is 2.5 years.  Initial appointment is for
a period of one year, renewable for 1.5 more years, subject to
satisfactory performance.  Competitive salary based on experience.
Review of applications will begin in May 2014 and will continue
until the position is filled.


Applications should include:

 * a detailed CV
 * names and contact details of 3 referees
 * a brief research proposal
 * a sample of your research output (a paper or dissertation)


Send applications (by email) to:

Linguistics and Multilingual Studies
Nanyang Technological University
HSS building, HSS-05-17
14 Nanyang Drive, Singapore 637332
Fax: +65 6794 9577
Email: ntunlpgroup at gmail.com

Any inquiries about this position should be sent to:
Francis Bond <bond at ieee.org>

For more information about the research group, please see:
http://compling.hss.ntu.edu.sg/


Brief Abstract of the Project:

There are two main approaches to the study of meaning in text. One
looks at the relations between words when they are used (structural
semantics). For example, in the sentence /The head fired the driver/,
there is an act of firing, where the boss is the one who fires the
driver. A typical (simplified) representation of this would be [fire
(head, driver)]. Another approach is to consider the meaning of each
word in relation to our knowledge of other words (lexical semantics):
in this sentence /head/ means something similar to "boss" rather than
being a "body part"; /fire/ means to "terminate employment" not to
"discharge a projectile"; and /driver/ is a "person who drives a
vehicle", not a "golf club" or "piece of software". A typical
(simplified) representation of this would be [The head_3 fired_2 the
driver_1], where the subscripts refer to a definition of the meaning
in some external knowledge source. Our goal is to unite these two
approaches (structural and lexical) in an integrated semantic
framework in order to be able to study the interactions between the
two kinds of information and to better model language
computationally. In our integrated representation, the final
representation will be something like: [fire_2 (head_3, driver_1)].
More technically, we are integrating minimal recursion semantic
representations with wordnet senses extending both as necessary.  We
will look at three languages: Chinese, English and Japanese, using and
extending existing resources.




-- 
Francis Bond <http://www3.ntu.edu.sg/home/fcbond/>
Division of Linguistics and Multilingual Studies
Nanyang Technological University
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