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RESEARCH IN NATURAL LANGUAGE UNDERSTANDING (Report No. 1)

IP.com Disclosure Number: IPCOM000128805D
Original Publication Date: 1978-Dec-31
Included in the Prior Art Database: 2005-Sep-19

Publishing Venue

Software Patent Institute

Related People

W.A. Woods: AUTHOR [+3]

Abstract

The ARPA natural language understanding project at BBN is an effort to discover and develop techniques for dealing with large bodies of information in a command and control decision-making situation. Natural language understanding in the context of a

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This is the abbreviated version, containing approximately 4% of the total text.

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THIS DOCUMENT IS AN APPROXIMATE REPRESENTATION OF THE ORIGINAL.

RESEARCH IN NATURAL LANGUAGE UNDERSTANDING

W.A. Woods

Quarterly Technical Progress Report No. 1

1 September 1977 to 30 November 1977

ARPA Order No. 3414 Program Code No. 8D30 Name of Contractor: Bolt, Beranek & Newman, Inc. Effective date of contract: 1 September 1977 Amount of Contract $301,377 Contract No. N00014-77-C-0378 Contract Expiration Date: 31 August 1978 Short Title of Work: Natural Language Understanding Principal Investor: Dr. William A. Woods (617)491-1850 x361 Scientific Officer: Gordon D. Goldstein

Sponsored by Advanced Research Projects Agency ARPA Order No. 3414

This research was supported by the Advanced Research Projects Agency of the Department of Defense and was monitored by ONR under contract no. N00014-77-C-00378

The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the Advanced Research Projects Agency or the U.S GovernmentBBN Report No. 3742 Introduction . Bolt Beranek and Newman Inc.

TABLE OF CONTENTS

1. Knowledge-Based Natural Language Understanding . . . . . . . 1.1 The Role of a Knowledge
Network for an Intelligent Machine . . . . . . . . .

1.2 Parsing Situations . . . . . .

1.3 The Process of Situation Recognition

1.3.1 Factored Knowledge Structures .

1.3.2 Markable Classification Structures . . . . The Structure of Concepts . . . . . . . . . . . The
Need for Inheritance Structures . . . . .

1.4

1.5

1.6 The Taxonomic Lattice

1.7 An Example . . . .

1.8 Conclusions . . .

Bolt, Beranek & Newman, Inc. Page 1 Dec 31, 1978

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RESEARCH IN NATURAL LANGUAGE UNDERSTANDING (Report No. 1)

4 2. Structured Inheritance Networks 2.1 A Note on Notation . . . . . 2.2 Node Types . . . . . . .
2.2.1 Concept and Concept-node Types 2.2.2 Role- and SD-nodes . . . . . . . 2.3 Eplink Types . .
. . . . . 2.3.1 Intra-concept-links . . 2.3.2 Intra-role-links . . . 2.3.3 Intra-sd-links . . . . 2.3.4
Abstraction Hierarchies 2.3.5 Inter-role-links . . . 2.3.6 Inter-sd-links . . . . 2.4 SI-Net-1 Primitive Concepts . . . . . . . . . . 2.5 Meta-description and Procedural Attachment 2.6 The Individuation
Process . . . . . . . 2.7 Further Refinements . . . . . . . . . . . . . . . .. and Inter-concept-links

3. References . .

4 8 9 12 18 21 23 26 29 34 79

Introduction

The ARPA natural language understanding project at BBN is an effort to discover and develop techniques for dealing with large bodies of information in a command and control decision- making situation. Natural language understanding in the context of a

" " knowledge-based intelligent display system constitutes a testbed for the research. Although this is an important application in its own right, the problems addressed in the research are general ones that cut across many other areas of application of rule-based and knowledge- based systems. The research project is prima...