Ontogen : a knowledge-based approach to natural language generation

Author
Leon, Ivan E.
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Other Contributors
Nirenburg, Sergei; McShane, Marjorie Joan, 1967-; Strzalkowski, Tomek;
Date Issued
2020-08
Subject
Cognitive science
Degree
MS;
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.; Attribution-NonCommercial-NoDerivs 3.0 United States
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URI
https://hdl.handle.net/20.500.13015/2583
Abstract
A long-standing objective of artificial intelligence research has been to build collaborative agents that can communicate with humans via natural language. The fields of artificial intelligence and human-computer interaction have stake in building such agents that can communicate in a way that not only feels natural to us, but also opens the door to new ways in which humans can interact with agents beyond simple task automation. OntoGen is a Natural Language Generation (NLG) system that produces text from semantic meaning representations and generates grammatically correct and contextually relevant language. It is a rendering service for the OntoAgent cognitive architecture and provides the framework with the ability to generate language in a dialog context;
Description
August 2020; School of Humanities, Arts, and Social Sciences
Department
Dept. of Cognitive Science;
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection;
Access
CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.;
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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.