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| Encoding extraction as inferences |
| Abstract | The analysis of natural-language text invo … The analysis of natural-language text involves many different kinds ofprocesses that might be described in multiple ways. One way to describethese processes is in terms of the semantics of their requirements andresults. Such a description makes it possible to view these processes asanalogous to inference rules in a theorem-proving system. This analogy isuseful for metacognition because there is existing theory andinfrastructure for manipulating inference rules. We describe a taxonomyof text extraction tasks that we have represented as inference rules. Wealso describe a working system that encodes the behavior of text analysiscomponents as a graph of inferences. This representation is currentlyused to present browsable explanations of text extraction to a user; infuture work, we expect to perform additional automated reasoning over thisencoding of text analysis processes. r thisencoding of text analysis processes. |
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| Address | Stanford University, USA + |
| Author | J. William Murdock +, Paulo Pinheiro da Silva +, David A. Ferrucci +, Christopher A. Welty +, Deborah L. McGuinness + |
| Bibtype | inproceedings + |
| Booktitle | Proceedings of AAAI Spring Symposium on Metacognition in Computation + |
| Key | KSL-04-06 + |
| Modification dateThis property is a special property in this wiki. | 9 July 2009 14:40:09 + |
| Paper | KSL-04-06.pdf + |
| Publisher | AAAI Press + |
| Relation | Inference web + |
| Tag | Computer science + |
| Title | Encoding Extraction as Inferences + |
| Tr id | KSL-04-06 + |
| Year | 2005 + |
| Categories | Workshop Paper, Proceeding Paper, Publication, KSL Technical Report |
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