Extended deadline

Lucja Iwanska <lucja@CS.Wayne.EDU>
Date: Thu, 25 Apr 1996 22:07:28 -0400
From: Lucja Iwanska <lucja@CS.Wayne.EDU>
Message-id: <199604260207.WAA17409@iwanska.cs.wayne.edu>
To: kqml@cs.umbc.edu, srkb@cs.umbc.edu, interlingua@isi.edu, agents@sun.com,
        cg@cs.umn.edu, ontolingua@hpp.stanford.edu, dbworld@cs.wisc.edu,
        krss@isi.edu, dai-list@mcc.com, pif-comments@MIT.EDU,
        CORPORA@hd.uib.no, nl-kr@snyside.sunnyside.com, ncgur@uccmvsa.ucop.edu,
        empiricists@unagi.cis.upenn.edu, linguist@tam2000.tamu.edu
Subject: Extended deadline
Cc: lucja@iwanska.cs.wayne.edu
    Dear Colleagues,

The submission deadline for the AAAI Fall 1996 Symposium on


is extended to May 7, 1996, Tuesday.

We revise this deadline because of the discrepancy between two
different dates, April 15 and May 1, that I mistakingly communicated
to you.  If you have already submitted your paper, you can either do
nothing or send us your newest version by May 7.

FYI, I am enclosing the cfp with some revised dates.

  Best wishes



  Call for participation in a AAAI Fall 1996 Symposium

WHERE: Boston/Cambridge, MIT

WHEN:  November 9-11, 1996
       shortly after KR-96 to be held November 4-7, 1996



The Symposium addresses the theoretically and practically important
problem of knowledge representation (KR) systems that closely parallel
the representational and inferential characteristics of natural
language (NL).

Advantages of such NL-based KR systems would be enormous.
Among the arguments for the natural-language-as-KR-system approach are:

    1. KR systems based on natural language would be easy for people to use,

    2. Most human knowledge is encoded and communicated via natural language,
       in the form of textual documents and (transcribed) interactions (dialogs).
       A NL-based KR system would be capable of automatically creating and updating
       its knowledge base from natural language texts more easily.
       Additionally, the contents of this knowledge base and inferences supported
       by the KR system would parallel those of a natural language user.

    3. Every day, a huge number of new textual documents becomes available on-line.
       This creates the need for more sophisticated information retrieval techniques based
       on natural language processing (NLP) and KR techniques.

    4. KR systems based on natural language would provide a uniform symbolic representation.
       The same representational and inference mechanism could be used when utilizing previous
       knowledge for processing new natural language inputs (natural language as both
       meta-level and object-level language),

    5. It is hard to match expressiveness and precision of natural language,
       particularly in not (well) formalized domains,

    6. Many philosophers, linguists and cognitive scientists believe that mental-level
       representation of knowledge (human mind) is close in form to natural language.

While some AI researchers believe that it is feasible and necessary to
design KR systems closely mimicking natural language, others are
pessimistic about success or even possibility of designing such KR
systems. This pessimism might account for the general lack of interest
in the problems of NLP within the KR community; for example, only six
of the twenty-two KR systems presented in the "Special Issue on
Implemented Knowledge Representation and Reasoning Systems", Charles
Rich, Editor SIGART Bulletin, Vol. 2 (3), ACM Press, 1991, are driven
by NLP concerns.

Among the arguments against the NL-as-KR-system approach are:

    1. Natural language is (highly) ambiguous,

    2. Natural language has (very) complex syntax, semantics, and pragmatics,

    3. Natural language is non-systematic, non-algorithmic,

    4. Natural language is  (highly) context-dependent,

    5. Natural language is (merely) an interface;
       Inferencing does not belong with natural language.

The goal of this Symposium is to address in-depth such arguments for
and against designing KR systems closely simulating natural language.

We invite papers that substantiate the view that natural language can
be viewed as a KR system with its own representational and inferential
machinery, and, as such, is a productive source of ideas for KR
formalisms and their practical implementations.

We are interested in papers discussing representations and inference
mechanisms paralleling a non-trivial or interesting subset of natural
language and formal systems whose expressiveness, semantics,
information packaging, reasoning, and computational tractability
closely correspond to that of natural language.

We are interested in automatic or semi-automatic methods of obtaining
taxonomies facilitating various NLP tasks such as anaphora resolution,
inferencing, and machine translation.

We are also interested in papers that discuss those aspects of natural
language that are not desirable in a KR system.  We invite position
papers with supported arguments against the idea of designing KR
systems that mimic natural language.



Strongly preferred
  12 pt article latex style
  15 pages maximum, including title, abstract, figures,
     but excluding references
  The first page must include:
    author's name(s)
    complete mailing address
    e-mail address
    phone/fax number(s)
    abstract of 200 or so words

ELECTRONIC SUBMISSIONS are strongly preferred:

     anonymous ftp to ftp.cs.wayne.edu   ~pub/nlkr  directory

 As the last resort, five hard copies of the paper
  can be snail mailed to

      Lucja Iwanska
        Department of Computer Science 
        Wayne State University 
        Detroit, MI 48202, USA

    (313) 577-1667 (phone)
    (313) 577-2478 (secretary)
    (313) 577-6868 (fax)


January 1, 1996
  intent to submit due

May 7, 1996     (earlier it was: April 15 and May 1, 1996)

June 15, 1996   (earlier it was: May 17, 1996)
  reviews completed
  papers chosen
  notification/comments/requests for changes sent out

August 23, 1996:
  camera-ready papers, signed "Permissions to Distribute" forms
  and A/V requests received by the chair

November 9-11, 1996:
  Symposium takes place



Syed S. Ali,            Southwest Missouri State University

Douglas Appelt,         SRI International;

R.V. Guha,              Apple Computers, Inc.

Sasa Buvac              Stanford University

Lucja Iwanska (Chair),  Wayne State University

Douglas Lenat,          CYC Corp.

David McAllester,      AT&T Bell Labs
Len Schubert,           University of Rochester

Stuart C. Shapiro,      State University of New York at Buffalo

Wlodek Zadrozny,        IBM TJ Watson Research Center