Copy Link
Add to Bookmark
Report
NL-KR Digest Volume 01 No. 21
NL-KR Digest (10/31/86 12:34:03) Volume 1 Number 21
Today's Topics:
Need COLING 86 proceedings.
KR for Music
Aid To Database Design: An Inductive Inference Approach
Seminar: Sidner - Modelling Discourse Structure
----------------------------------------------------------------------
Date: Tue, 28 Oct 86 09:07 EST
From: Graeme Hirst <gh%ai.toronto.edu@CSNET-RELAY.ARPA>
Subject: Need COLING 86 proceedings.
Can someone please tell me how to get a copy of the COLING 86 proceedings
(without having been there). None of the conference publicity has mentioned
anything about their sale or publication.
\\\\ Graeme Hirst University of Toronto Computer Science Department
//// utcsri!utai!gh / gh@ai.toronto.edu / 416-978-8747
[In fact, I'd be interested as well, so if anyone knows, perhaps they can post
the info? -B]
------------------------------
Date: Mon, 27 Oct 86 16:47:16 EST
From: "William J. Rapaport" <rapaport%buffalo.csnet@CSNET-RELAY.ARPA>
Subject: KR for Music
For information on KR and music, see:
Ebcioglu, Kemal, "An Expert System for Chorale Harmonization," Proc.
AAAI-86, Vol. 2, pp. 784-788.
Ebcioglu, Kemal, "An Expert System for Harmonization of Chorales in the
Style of J. S. Bach," Tech. Report, Dept. of Computer Science, SUNY
Buffalo (1986).
------------------------------
Date: Tue, 28 Oct 86 23:06 EST
From: Tim Finin <Tim@cis.upenn.edu>
Subject: Aid To Database Design: An Inductive Inference Approach
Dissertation Defense
Aid To Database Design: An Inductive
Inference Approach
Sitaram Lanka
The conventional approach to the design of databases has the drawback that
to specify a database schema, it requires the user interested in designing a
schema to have the knowledge about both the domain and the data model. The
aim of this research is to propose a semi automated system which designs a
database schema in which the user need only have the knowledge of the
underlying domain. This is expressed in terms of the information retrieval
requirements that the database has to satisfy eventually. We have cast this
as a problem in inductive inference where the input is in the form of
Natural Language English queries. A database schema is inferred from this
and is expressed in the functional data model.
The synthesis of the database schema from the input queries is carried out
by an inference mechanism. The central idea in designing the inference
mechanism is the notion of compositionality and we have described it in
terms of attribute grammars due to Kunth. A method has been proposed to
detect any potentially false hypothesis that the inference mechanism may put
forth and we have proposed a scheme to refine them such that we will obtain
acceptable hypothesis. A prototype has been implemented on the Symbolics
Lisp machine.
Committee
Dr. P. Buneman
Dr. T. Finin (chairman)
Dr. R. Gerritsen Supervisor
Dr. A.K. Joshi Supervisor
Dr. R.S. Nikhil
Dr. B. Webber
Date: October 31, 1986
Time: 2:30 pm
Location: Room 23
------------------------------
Date: Thu, 30 Oct 86 00:55:48 EST
From: "Steven A. Swernofsky" <SASW%MX.LCS.MIT.EDU@MC.LCS.MIT.EDU>
BBN Laboratories
Science Development Program
AI/Education Seminar
Speaker: Dr. Candace Sidner
BBN Laboratories Inc.
(Sidner@G.BBN.COM)
Title: Modelling Discourse Structure: The Role of Purpose
in Discourse
Date: 10:30a.m., Thursday, November 13th
Location: 3rd floor large conference room,
BBN Laboratories Inc., 10 Moulton St., Cambridge
Abstract
In this talk I will report on aspects of the discourse structure theory
developed by Grosz and Sidner. The structure of any discourse is a
composite of three distinct and interacting constituents: the linguistic
structure, the intentional structure and the attentional state. I will
define and illustrate these components by various examples. The power of
the discourse structure theory is that the attentional state provides a
process model of the interactions among embeddings in the linguistic
structure, relations in the intentional structure and individual spaces of
the attentional state. I will illustrate the process model interactions
with some typical smooth flowing discourses and some interrupted
discourses.
The discourse structure model allows us to define relations between the
intentions conveyed in the discourse and the overall tasks and plans of the
discourse participants. I will illustrate those relations for an extended
discourse and show that the purposes people convey in discourse with
intentions must be modeled by plans that explicitly represent intention,
and by reasoning mechanisms that can either fill in missing actions in
partially described plans or create new plans for errors or difficulties
that occur as the discourse progresses.
------------------------------
End of NL-KR Digest
*******************
