A Questioning-Answering Program for Simple Kernel Sentences (QUE2).
| Τίτλος: | A Questioning-Answering Program for Simple Kernel Sentences (QUE2). |
|---|---|
| Συγγραφείς: | Alexander, Bill, Texas Univ., Austin. |
| Peer Reviewed: | N |
| Page Count: | 29 |
| Ημερομηνία έκδοσης: | 1971 |
| Sponsoring Agency: | National Science Foundation, Washington, DC. |
| Report Number: | NSF-GJ-509-X TR-NL-5 |
| Descriptors: | Applied Linguistics, Computational Linguistics, Computer Assisted Instruction, Computer Graphics, Computer Programs, Computer Science, Deep Structure, Educational Technology, Flow Charts, Kernel Sentences, Language Research, Logic, Programing Languages, Semantics, Sentence Diagraming, Structural Analysis, Structural Linguistics, Syntax |
| Περίληψη: | QUE2 is a recently devised, natural language, questioning-answering program written in LISP1-5. It deals in simple, kernel sentences and employs the theory that the semantic content of a sentence is the set of relationships between conceptual objects (represented by the words in it), which the sentence and its structure imply. The data base of the program is an arbitrary list of simple kernel sentences. The lexicon is a list of pairs; the first element is the word itself, and the second element is its definition--the first element a relation and the second a list of all things which are in the given relation to the word being defined. The structure of the question is also a simple kernel sentence. Through a hierarchical set of functions, the program is capable of taking a kernel-sentence question and, based on its knowledge, providing a one-word answer (true, false, or don't know) accompanied by a copy of the internal semantic structure of the sentence, if any, from which the answer was deduced. The program's capabilities are not infinite, but further details could easily be added. Tables showing the data base, function truth tables, flow charts, and questions and answers are included along with a list of references. (VM) |
| Journal Code: | RIEDEC1971 |
| Entry Date: | 1971 |
| Αριθμός Καταχώρησης: | ED053585 |
| Βάση Δεδομένων: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED053585 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
|---|---|
| Header | DbId: eric DbLabel: ERIC An: ED053585 AccessLevel: 3 PubTypeId: unknown PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A Questioning-Answering Program for Simple Kernel Sentences (QUE2). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alexander%2C+Bill%22">Alexander, Bill</searchLink><br /><searchLink fieldCode="AR" term="%22Texas+Univ%2E%2C+Austin%2E%22">Texas Univ., Austin.</searchLink> – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 29 – Name: DatePubCY Label: Publication Date Group: Date Data: 1971 – Name: SourceSuprt Label: Sponsoring Agency Group: SrcSuprt Data: National Science Foundation, Washington, DC. – Name: NumberReport Label: Report Number Group: ID Data: NSF-GJ-509-X<br />TR-NL-5 – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Applied+Linguistics%22">Applied Linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+Linguistics%22">Computational Linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Instruction%22">Computer Assisted Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Graphics%22">Computer Graphics</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Programs%22">Computer Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Science%22">Computer Science</searchLink><br /><searchLink fieldCode="DE" term="%22Deep+Structure%22">Deep Structure</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Flow+Charts%22">Flow Charts</searchLink><br /><searchLink fieldCode="DE" term="%22Kernel+Sentences%22">Kernel Sentences</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Research%22">Language Research</searchLink><br /><searchLink fieldCode="DE" term="%22Logic%22">Logic</searchLink><br /><searchLink fieldCode="DE" term="%22Programing+Languages%22">Programing Languages</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink><br /><searchLink fieldCode="DE" term="%22Sentence+Diagraming%22">Sentence Diagraming</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+Analysis%22">Structural Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+Linguistics%22">Structural Linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Syntax%22">Syntax</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: QUE2 is a recently devised, natural language, questioning-answering program written in LISP1-5. It deals in simple, kernel sentences and employs the theory that the semantic content of a sentence is the set of relationships between conceptual objects (represented by the words in it), which the sentence and its structure imply. The data base of the program is an arbitrary list of simple kernel sentences. The lexicon is a list of pairs; the first element is the word itself, and the second element is its definition--the first element a relation and the second a list of all things which are in the given relation to the word being defined. The structure of the question is also a simple kernel sentence. Through a hierarchical set of functions, the program is capable of taking a kernel-sentence question and, based on its knowledge, providing a one-word answer (true, false, or don't know) accompanied by a copy of the internal semantic structure of the sentence, if any, from which the answer was deduced. The program's capabilities are not infinite, but further details could easily be added. Tables showing the data base, function truth tables, flow charts, and questions and answers are included along with a list of references. (VM) – Name: CodeSource Label: Journal Code Group: SrcInfo Data: <searchLink fieldCode="JC" term="%22RIEDEC1971%22">RIEDEC1971</searchLink> – Name: DateEntry Label: Entry Date Group: Date Data: 1971 – Name: AN Label: Accession Number Group: ID Data: ED053585 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED053585 |
| RecordInfo | BibRecord: BibEntity: PhysicalDescription: Pagination: PageCount: 29 Subjects: – SubjectFull: Applied Linguistics Type: general – SubjectFull: Computational Linguistics Type: general – SubjectFull: Computer Assisted Instruction Type: general – SubjectFull: Computer Graphics Type: general – SubjectFull: Computer Programs Type: general – SubjectFull: Computer Science Type: general – SubjectFull: Deep Structure Type: general – SubjectFull: Educational Technology Type: general – SubjectFull: Flow Charts Type: general – SubjectFull: Kernel Sentences Type: general – SubjectFull: Language Research Type: general – SubjectFull: Logic Type: general – SubjectFull: Programing Languages Type: general – SubjectFull: Semantics Type: general – SubjectFull: Sentence Diagraming Type: general – SubjectFull: Structural Analysis Type: general – SubjectFull: Structural Linguistics Type: general – SubjectFull: Syntax Type: general Titles: – TitleFull: A Questioning-Answering Program for Simple Kernel Sentences (QUE2). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Texas Univ., Austin. – PersonEntity: Name: NameFull: Alexander, Bill IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Type: published Y: 1971 |
| ResultId | 1 |