Accession Number:

ADA247389

Title:

Natural Language, Knowledge Representation, and Logical Form

Descriptive Note:

Technical rept.

Corporate Author:

ROCHESTER UNIV NY DEPT OF COMPUTER SCIENCE

Personal Author(s):

• Allen, James F.

Report Date:

1991-01-01

Pagination or Media Count:

34.0

Abstract:

Current natural language understanding systems generally maintain a strict division between the parsing processes and the representation that supports general reasoning about the world. This paper examines why these two forms of processing are separated, determines the current advantages and limitations of this approach, and identifies the inherent limitations of the approach. I will point out some fundamental problems with the models as they are defined today and suggest some important directions of research in natural language and knowledge representation. In particular, I will argue that one of the crucial issues facing future natural language systems is the development of knowledge representation formalisms that can effectively handle ambiguity.

Descriptors:

• *NATURAL LANGUAGE
• *PARSERS
• MODELS
• PROCESSING
• REASONING
• LIMITATIONS
• FACINGS
• DIVISION
• APPROACH
• LANGUAGE
• SUPPORTS
• AMBIGUITY
• PAPER

Subject Categories:

• Linguistics
• Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE