1970
DOI: 10.1145/362052.362058
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A deductive question-answerer for natural language inference

Abstract: The question-answering aspects of the Protosynthex III prototype language processing system are described and exemplified in detail. The sysfem is written in LISP 1.5 and operates on the Q-32 time-sharing system. The system's data structures and their semantic organization, the deductive question-answering formalism of relational properties and complex-relation-forming operators, and the question-answering procedures which employ these features in their operation are all described and illustrated. Examples of … Show more

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Cited by 25 publications
(7 citation statements)
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“…The two clearest examples of the general use of path-based inference are in SAMENLAQ II [18] and Protosynthex III [13]. Both these systems use what might be called "relational" networks rather than =semantic = networks since arc-relations include conceptual relations as well as structural relations (see [14] for a discussion of the difference).…”
Section: Path-basedmentioning
confidence: 99%
“…The two clearest examples of the general use of path-based inference are in SAMENLAQ II [18] and Protosynthex III [13]. Both these systems use what might be called "relational" networks rather than =semantic = networks since arc-relations include conceptual relations as well as structural relations (see [14] for a discussion of the difference).…”
Section: Path-basedmentioning
confidence: 99%
“…(Schwarcz et al 1970;Carbonnel, Collins 1974), or more ambitiously, on taking into account all the constituent properties of certain given situations (Charniak 1972(Charniak , 1975(Charniak , 1976Minsky 1974;Schank et al 1975). …”
Section: Gian Piero Zarrimentioning
confidence: 99%
“…This is especially so in the case of researchers who have neglected other aspects to concentrate on natural language understanding. A case in point is the work by Simmons, Schwartz, and their associates (Schwartz et al, 26). In spite of using a semantic information storage (in the form of triples) they use it only for processing student's answers and, very recently, for generating true-false questions (Simmons,27); other types of program questions, and answering questions from the student, have been left aside.…”
Section: Appendix Bmentioning
confidence: 99%
“…A very comprehensive review of natural-language question-answering systems has been made by Simmons (30), though the emphasis is probably more on natural-language analysis than on question answering. With the same approach, Schwarcz et al (26) recently presented the last version of their series of Protosynthex systems for deductive question-answering using natural language. Some of the comments they make in this interesting paper are worth mentioning in relation to our own work on SCHOLAR.…”
Section: B2 Some Relevant Artificial Intelligence Questionsmentioning
confidence: 99%