A Special Issue of the Journal Natural Language Engineering
Guest Editors
Syed S. Ali
Department of Electrical Engineering & Computer Science
University of Wisconsin-Milwaukee
Milwaukee, WI 53211, USA
syali@cs.uwm.edu
Lucja Iwanska
Department of Computer Science
Wayne State University
Detroit, MI 48202, USA
lucja@cs.wayne.edu
NOTE: Deadline for submissions is December 31, 1996
http://tigger.cs.uwm.edu/~syali/jnle-kr-nlp/
Call for Papers
This special issue is intended to be a forum for the presentation of the
state-of-the-art in implemented knowledge representation and reasoning (KRR)
systems for general natural language processing (NLP). We are interested in
papers that address or describe implemented knowledge representation systems
that facilitate natural language processing for implemented systems. This
call is intended to be as broad as possible. To this end, topics of interest
include (but are not limited to):
* Implemented systems that support ``interesting'' natural language
processing tasks, such as the representation of collections,
quantifiers, donkey phenomena, or contextual aspects of natural
language. The paper should address how the representation has been used
to support the task and include a sample interaction that was produced
by the implemented system.
* Theories of knowledge representation that are based on, or suitable
for, the semantics of natural language. In addition to describing the
formal theory, the paper should discuss how the theory has been used in
the implementation of a system and should include a sample natural
language text that the system processes.
* Theories of representation for discourse-level language processing
phenomena, such as anaphora, ellipsis, or rhetorical or intentional
structure. The paper should discuss how the theory has been used in the
implementation of a system and include a sample natural language text
that the system handles.
* Implemented theories of natural language as knowledge representation.
For example, there are inference methods that parallel reasoning in
natural language. Natural deduction systems are so called because of
the apparent naturalness of the proof procedure. Another example is
surface reasoning, which is based on the syntactic structure of natural
language.
* Practical results regarding the expressiveness and generality of a
representation language with respect to some natural language
processing task. For example, the paper might evaluate the coverage of
an implemented KRR system for a particular classes of complex object
descriptions or quantified expressions. It might also evaluate the
performance trade-offs in increasing the expressiveness of the
representation language to support natural language.
* Empirical results regarding the representation requirements for a
particular domain area or task; for example in a particular domain, it
might be sufficient to identify quantifier ordering, without resolving
scope ambiguities. Such papers must describe the work in sufficient
detail for evaluation.
* Methods for building knowledge representations on the basis of a
statistical analysis of a natural language corpus.
Submissions to the special issue should address these topics by showing one
or more sample texts that the described implemented system can understand,
how the information contained in that text is represented, what background
information is used by the system, how that information is represented, how
the system processes the knowledge to do interesting things (such as
answering interesting questions about the text), and how the information is
processed into answers.
Reports on projects whose purpose is to simulate human understanding of
texts are appropriate, as are descriptions of projects whose purpose is to
provide natural language interfaces to databases, planners, or other
knowledge-based systems. Such reports should provide specific implementation
details (where applicable) such as: source of data (artificial or real),
corpus statistics, scope, dictionary/grammar size and coverage, project size
(estimate of person-years of development), scalability, and if part of a
larger, possibly non-NLP system, describe interaction/interfacing
Operational characteristics of implementations should also be provided, such
as the input/output (modality, whether pre-processed, etc), translation
(language to logic, for example), representation(s) (of a sample
interaction), and how inferencing/processing works.
Submission Information
Submit full papers of no more than 25 pages (exclusive of references),
twelve point, double-spaced, with one inch margins before the initial
submission deadline. Submissions not conforming to these guidelines will not
be reviewed.
Email submission is preferred, and should be directed to the special issue
editor at the email address: jnle-sub@tigger.cs.uwm.edu. The subject line
should read: JNLE KRR/NLP Submission. Preferred email submission formats
are: stand-alone LaTeX, PostScript, or plain text (for papers without
complex figures, etc).
If email submission is not possible, then five copies of the paper should be
mailed to:
Syed S. Ali
Electrical Engineering and Computer Science
3200 N. Cramer Street
University of Wisconsin-Milwaukee
Milwaukee, WI 53211
(414) 229-5375
Mailed submissions must arrive on or before the deadline for submission.
Submission Dates
* Submissions for the symposium are due on December 31, 1996.
* Notification of acceptance will be given by January 31, 1997.
* Camera-ready copy due March 1, 1997.
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Sy Ali
Fri Aug 30 15:12:51 CDT 1996