9 September: fyi -- IBM, NY

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Question Answering System - Research Staff Member

Our challenge is to develop a system to automatically answer natural
language questions in broad domains, such as industry news.
A broad-coverage question answering system combines technologies
from computational linguistics, information retrieval and knowledge
representation. We are looking for a candidate who is very competent
in one or more of these areas, who can be creative and resourceful
in order to push the limits of known techniques and advance the
current state of the art.

Formal qualifications include:
· Experience in conducting research, evidenced in publications or
industrial research work
· Strong programming skills for designing and implementing prototypes
· Ability to transfer prototypes to production is highly desirable
· Good communication skills and ability to work in a team
· Knowledge of applicable machine learning or AI techniques would be of
interest.
· Experience with question answering applications would be a great
advantage.

Education:
Ph.D in Computational Linguistics, Information Retrieval, or related
field.

Yael Ravin ravin@us.ibm.com
POB 704
Yorktown Heights
NY 10598
USA

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