Since cooperation is an essential aspect of human conversation, it is a necessary feature in a natural language interface. Previous work has shown that it is possible to incorporate principles of cooperative behaviour into a system allowing natural language access to a database. It is shown here that some of these principles can also be applied fruitfully in a formal language environment. Specifically, when a query retrieves an empty result set, it is possible, by analyzing the question and running related queries against the database, to give a useful explanation of the zero result. A precise specification of the information that should be presented to the user is described for queries consisting of boolean combinations of predicates of a single variable. Such cooperative responses to boolean queries have been implemented on the large bibliographic database of the Research Libraries Group. The size of the database has motivated a careful optimization of the algorithm, which is discussed.

One barrier to the acceptance of natural language database query systems is the substantial installation effort required for each new database. Much of this effort involves the encoding of semantic knowledge for the domain of discourse, necessary to correctly interpret and respond to natural language questions. For such systems to be practical, techniques must be developed to increase their portability to new domains. This paper discusses several issues involving the portability of natural language interfaces to database systems, and presents the approach taken in CO-OP — a natural language database query system that provides cooperative responses to English questions and operates with a typical CODA-SYL database system. CO-OP derives its domain-specific knowledge from a lexicon (the list of words known to the system) and the information already present in the structure and content of the underlying database. Experience with the implementation suggests that strategies that are not directly derivative of cognitive or linguistic models may nonetheless play an important role in the development of practical natural language systems.

Article Free AccessInterpreting natural language database updates Share on Authors: S. Jerrold Kaplan Stanford University, Stanford, Ca. Stanford University, Stanford, Ca.View Profile , Jim Davidson Stanford University, Stanford, Ca. Stanford University, Stanford, Ca.View Profile Authors Info & Claims ACL '81: Proceedings of the 19th annual meeting on Association for Computational LinguisticsJune 1981 Pages 139–141https://doi.org/10.3115/981923.981961Online:29 June 1981Publication History 13citation143DownloadsMetricsTotal Citations13Total Downloads143Last 12 Months39Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

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