LINGUIST List 22.3992|
Wed Oct 12 2011
Jobs: NLG; Comp Semantics: Research Scientist, U of Colorado, Boulder
Editor for this issue: Christy Bird
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1. Rodney Nielsen ,
Natural Language Generation; Computational Semantics: Research Scientist, University of Colorado, Boulder, USA
Message 1: Natural Language Generation; Computational Semantics: Research Scientist, University of Colorado, Boulder, USA
From: Rodney Nielsen <Rodney.NielsenColorado.edu>
Subject: Natural Language Generation; Computational Semantics: Research Scientist, University of Colorado, Boulder, USA
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University or Organization: University of Colorado, Boulder
Department: Computational Language & Education Research Center
Job Location: Colorado, USA
Web Address: http://clear.colorado.edu/
Job Rank: Research Scientist
Specialty Areas: Computational Linguistics; Semantics; Natural Language Generation; Spoken Dialogue Systems
The Companionbots project at the Computational Language & Education
Research center, University of Colorado, invites applications for two
Research Scientists in Human-Robot Dialogue: one in Natural Language
Generation (NLG), the other in Computational Semantics.
CU is leading an NSF-funded project, Companionbots for Proactive
Therapeutic Dialog on Depression, to conduct research on a new class of
dialog-based, home robotic healthcare assistants to facilitate in-home, real-
time care. The immediate project will result in enabling technology that
integrates language, vision and emotive technology to proactively recognize
situations and dialog with isolated elderly patients suffering from depression.
Object and human activity recognition will augment NLP to provide current
and historical context important to dynamic dialog. An emotive, physical
avatar will provide an interaction mechanism with sufficient trust to extract
meaningful information that may not be observable in the immediate
environment. The proactive generation of questions will be driven by a user
model including context, goals, health, experiences, interests and prior
NLG: will span multiple genres from casual conversation to goal-directed
mental health education and training, with an emphasis on question
generation. It will explore multiple techniques from typical Spoken Dialogue
Systems (SDS) to text-to-text NLG methods.
Computational Semantics: will create a deep understanding and
representation of a situation and spoken dialog based on past and immediate
context. The semantics extracted will be used to construct a user model and
predict future adverse events and situations.
Both: You will be encouraged to develop independent research ideas within
the scope of the project, will play an active role in a variety of project areas
and will have the opportunity to apply your expertise to a critical, real-life
problem in a multidisciplinary environment.
You will interact closely with the project's clinical experts in understanding
subjects and developing healthcare-related dialogue strategies, with users to
help guide and evaluate research & development, with Vision researchers to
enhance contextual understanding, with Automatic Speech Recognition
(ASR) experts to improve ASR with semantic context and with mechantronics
researchers to ensure contextually appropriate emotive output.
- Expertise in the area you are applying, preferably in the context of
- A PhD in computer science, computational linguistics, or a closely related
- Skills in the application of Machine Learning to computational linguistics
- Excellent software design and implementation skills
- Good verbal communication and English writing skills
- The ability to work both independently and in a multidisciplinary team
- Working knowledge or publication record in usability, user modeling,
discourse analysis and cognitive science related to SDS is a plus
To apply follow the instructions at these Jobs at CU links:
NLG - Job Posting Number 815056
Computational Semantics - Job Posting Number 815059
CU is an EOE committed to building a diverse workforce. We encourage
applications from women, racial & ethnic minorities, individuals with
disabilities & veterans Alternative formats of ad can be provided to
individuals with disabilities by contacting the ADA Coordinator at (303) 492-1334.
CU conducts background checks on all final candidates.
Application Deadline: (Open until filled)
Web Address for Applications: http://www.jobsatcu.com/
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