Aggregation in Natural Language Generation.
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| Title: | Aggregation in Natural Language Generation. |
|---|---|
| Authors: | Dalianis, Hercules |
| Source: | Computational Intelligence. Nov99, Vol. 15 Issue 4, p384. 31p. 1 Black and White Photograph, 10 Diagrams, 2 Charts. |
| Subjects: | Natural language processing, Syntax (Grammar), Lexical grammar, Ambiguity |
| Abstract: | The content of real-world databases, knowledge bases, database models, and formal specifications is often highly redundant and needs to be aggregated before these representations can be successfully paraphrased into natural language. To generate natural language from these representations, a number of processes must be carried out, one of which is sentence planning where the task of aggregation is carried out. Aggregation, which has been called ellipsis or coordination in Linguistics, is the process that removes redundancies during generation of a natural language discourse, without losing any information. The article describes a set of corpus studies that focus on aggregation, provides a set of aggregation rules, and finally, shows how these rules are implemented in a couple of prototype systems. We develop further the concept of aggregation and discuss it in connection with the growing literature on the subject. This work offers a new tool for the sentence planning phase of natural language generation systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Computational Intelligence is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 4370213 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Aggregation in Natural Language Generation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dalianis%2C+Hercules%22">Dalianis, Hercules</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computational+Intelligence%22">Computational Intelligence</searchLink>. Nov99, Vol. 15 Issue 4, p384. 31p. 1 Black and White Photograph, 10 Diagrams, 2 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Syntax+%28Grammar%29%22">Syntax (Grammar)</searchLink><br /><searchLink fieldCode="DE" term="%22Lexical+grammar%22">Lexical grammar</searchLink><br /><searchLink fieldCode="DE" term="%22Ambiguity%22">Ambiguity</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The content of real-world databases, knowledge bases, database models, and formal specifications is often highly redundant and needs to be aggregated before these representations can be successfully paraphrased into natural language. To generate natural language from these representations, a number of processes must be carried out, one of which is sentence planning where the task of aggregation is carried out. Aggregation, which has been called ellipsis or coordination in Linguistics, is the process that removes redundancies during generation of a natural language discourse, without losing any information. The article describes a set of corpus studies that focus on aggregation, provides a set of aggregation rules, and finally, shows how these rules are implemented in a couple of prototype systems. We develop further the concept of aggregation and discuss it in connection with the growing literature on the subject. This work offers a new tool for the sentence planning phase of natural language generation systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computational Intelligence is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=4370213 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/0824-7935.00099 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 384 Subjects: – SubjectFull: Natural language processing Type: general – SubjectFull: Syntax (Grammar) Type: general – SubjectFull: Lexical grammar Type: general – SubjectFull: Ambiguity Type: general Titles: – TitleFull: Aggregation in Natural Language Generation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dalianis, Hercules IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov99 Type: published Y: 1999 Identifiers: – Type: issn-print Value: 08247935 Numbering: – Type: volume Value: 15 – Type: issue Value: 4 Titles: – TitleFull: Computational Intelligence Type: main |
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