Journal ArticleDOI
An expectation-driven production system for natural language understanding
TLDR
ELI, the English language interpreter for the SAM story understanding system at Yale, is a model of language understanding using productions that limits the number of productions that have to be manipulated with expectations.Abstract:
ELI, the English language interpreter for the SAM story understanding system at Yale, is a model of language understanding using productions. Productions are useful because they are flexible, but this flexibility means more work has to be spent controlling and manipulating them. ELI limits the number of productions that have to be manipulated with expectations. Expectations are constraints generated by frame structures that have been built by previously executed productions. Only productions that satisfy existing expectations are used.read more
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Journal ArticleDOI
NLI: a robust interface for natural language person-machine communication
Giovanni Guida,Carlo Tasso +1 more
TL;DR: The overall architecture of the goal oriented parsing system, along with the basic features of the parsing algorithm, are illustrated, based on the new concept of hierarchical parsing and is mainly directed by the semantics of the language.
Book
Knowledge organization and distribution for medical diagnosis
Fernando Gomez,B. Chandrasekaran +1 more
TL;DR: A diagnostician, when he arrives at a diagnosis or diagnoses, has invoked some concepts, which form a hierarchical structure similar to a botanical or zoological classification and extend the capabilities of production rules to more complex problem solving situations.
Journal ArticleDOI
The Role of AFFECT in Narratives
TL;DR: The importance of affect knowledge and processing in the context of BORIS, a computer program which reads and answers questions about narratives involving multiple sources of knowledge, is discussed.
Journal ArticleDOI
Steps Toward Knowledge-Based Machine Translation
TL;DR: This paper considers the possibilities for knowledge-based automatic text translation in the light of recent advances in artificial intelligence, and argues that competent translation requires some reasonable depth of understanding of the source text and access to detailed contextual information.