In the past decade, a number of natural language database access systems have been constructed (e.g. Hendrix 1976; Waltz et al. 1976; Sacerdoti 1978; Harris 1979; Lehnert and Shwartz 1982; Shwartz 1982). The level of performance achieved by natural language database access systems varies considerably, with the more robust systems operating within a narrow domain (i.e., content area) and relying heavily on domain-specific knowledge to guide the language understanding process. Transporting a system constructed for one domain into a new domain is extremely resource-intensive because a new set of domain-specific knowledge must be encoded.In order to reduce the cost of transportation, a great deal of current research has focussed on building natural language access systems that are domain-independent. More specifically, these systems attempt to use syntactic knowledge in conjunction with knowledge about the structure of the database as a substitute for conceptual knowledge regarding the database content area. In this paper I examine the issue of whether or not it is possible to build a natural language database access system that achieves an acceptable level of performance without including domain-specific conceptual knowledge.
[1]
Wendy G. Lehnert,et al.
Natural Language Data Base Access With Pearl
,
1982,
COLING.
[2]
Gary G. Hendrix.
Lifer: a natural language interface facility
,
1977,
SGAR.
[3]
Lance A. Miller,et al.
Review of The process of question answering: a computer simulation of cognition by Wendy G. Lehnert. Lawrence Erlbaum Associates 1978.
,
1980
.
[4]
David L. Waltz,et al.
The PLANES System: Natural Language Access To a Large Data Base.
,
1976
.
[5]
Larry R. Harris,et al.
Experience with ROBOT in 12 Commercial, Natural Language Data Base Query Applications
,
1979,
IJCAI.
[6]
Wendy Grace Lehnert,et al.
The Process of Question Answering
,
2022
.