Knowledge Representation for Natural Language Processing
in Implemented Systems
A Special Issue of the Journal Natural Language
NOTE: This issue is in now in print!
Please check here
for an online version, or to order copies.
Department of Mathematical Sciences
University of Wisconsin-Milwaukee
Milwaukee, WI 53211, USA
Department of Computer Science
Wayne State University
Detroit, MI 48202, USA
NOTE: Deadline for submissions was December 31, 1996
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):
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.
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
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
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
Methods for building knowledge representations on the basis of a
statistical analysis of a natural language corpus.
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.
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: firstname.lastname@example.org.
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
Mailed submissions must arrive on or before the deadline for submission.
Submissions are due on December 31, 1996.
Notification of acceptance will be given by January 31, 1997.
Camera-ready copy due March 1, 1997.
Fri Aug 30 15:12:51 CDT 1996