Integrating Natural Language Processing and Knowledge Based Processing
Abstract
A central problem in text-understanding research is the in-determinacy of natural language. Two related issues that arise in confronting this problem are the need to make com-plex interactions possible among the system components that search for cues, and the need to control the amount of reasoning that is done once cues have been discovered. We identify a key d.ifEculty iu enabling true interaction among system components and we propose an architectural frame-work that minimizes this difficulty. A concrete example of a reasoning task encountered iu an actual text+mderstanding application is used to motivate the design principles of our framework.
Cite
Text
Passonneau et al. "Integrating Natural Language Processing and Knowledge Based Processing." AAAI Conference on Artificial Intelligence, 1990.Markdown
[Passonneau et al. "Integrating Natural Language Processing and Knowledge Based Processing." AAAI Conference on Artificial Intelligence, 1990.](https://mlanthology.org/aaai/1990/passonneau1990aaai-integrating/)BibTeX
@inproceedings{passonneau1990aaai-integrating,
title = {{Integrating Natural Language Processing and Knowledge Based Processing}},
author = {Passonneau, Rebecca J. and Weir, Carl and Finin, Timothy W. and Palmer, Martha Stone},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1990},
pages = {976-983},
url = {https://mlanthology.org/aaai/1990/passonneau1990aaai-integrating/}
}