AAAI Fall Symposium 2007
Cognitive Approaches to NLP
This symposium highlights NLP research at the intersection of AI/Computational Linguistics and Cognitive Science/Computational Psycholinguistics — especially research which integrates symbolic and statistical/connectionist representations with serial and parallel processing mechanisms into large-scale, functional, cognitively-motivated (or better yet, cognitively plausible) NLP systems. It also incorporates Human-Robot Interface (HRI) systems as they relate to robot communication and language.
Major topics of discussion are expected to include:
- Cognitive/hybrid approaches to parsing and text meaning analysis
- Cognitive/hybrid approaches to generation
- Cognitive/hybrid approaches to Knowledge Representation (KR) and
- Cognitive/hybrid approaches to knowledge acquisition
- Cognitively-motivated implementations of NLP and Information
Extraction (IE) systems
- Applying cognitive architectures to build functional NLP systems
- Evaluations, advantages and disadvantages of cognitively-motivated
- HRI Systems
This symposium will be of special interest to researchers interested in building cognitively-motivated, large-scale, real-world NLP systems, although researchers interested in building more specialized systems may also want to participate. Researchers engaged in this interdisciplinary area of research are consumers of experimental and theoretical research in psycholinguistics and human language processing without necessarily being psycholinguists or experimental psychologists. However, attempts to build large-scale, cognitively motivated NLP systems are likely to reveal weaknesses in cognitive theories of language representation and processing which will provide important feedback to more experimentally and theoretically oriented researchers.
A key assumption underlying this symposium is the idea that adhering to well- established cognitive constraints on language processing may actually facilitate, rather than hinder, the development of functional NLP systems. The adoption of such cognitive constraints narrows the search space for possible solutions, focusing attention in research directions that are more likely to lead to feasible systems than the reliance on brute force computational mechanisms like exhaustive search and algorithmic backtracking which are both cognitively implausible and computationally intractable.
A major goal of this symposium is to identify issues, which need to be overcome in the development of large-scale, cognitively-motivated NLP systems and HRI systems, and to highlight emerging techniques and solutions for addressing these issues.
The Association for the Advancement of Artificial Intelligence (AAAI)
is pleased to present the 2007 Fall Symposium Series, to be held Friday
through Sunday, November 9-11, at the Westin Arlington Gateway in
Arlington, Virginia. The Symposium Series will be preceded on
Thursday, November 8 by a one-day AI funding seminar, which will be open
to all registered attendees of FSS-07. An informal reception will be held
on Friday, November 9. A general plenary session, in which the highlights
of each symposium will be presented, will be held on Saturday, November
10. Symposia will be limited to 40-60 participants each. Participation
will be open to active participants as well as a limited number of
interested individuals on a first-come, first-served basis. Each
participant will be expected to attend a single symposium. Registration
information will be available on the AAAI web site in July 2007.
Chris Arney, Army Research Office
Mitch Marcus, University of Pennsylvania
Jerry Ball, Air Force Research Laboratory
Sergei Nirenburg, University of Maryland, Baltimore County
Marjorie McShane, University of Maryland, Baltimore County