Encoding Extraction as Inferences
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Citation: J. William Murdock and Paulo Pinheiro da Silva and David A. Ferrucci and Christopher A. Welty and Deborah L. McGuinness. (2004) Encoding Extraction as Inferences. In KSL-04-06, 2004.
| Publication techreport ( Edit ) | |
| type | Technical Report |
| bibtype | techreport |
| Bibtex basics | |
| author | J. William Murdock and Paulo Pinheiro da Silva and David A. Ferrucci and Christopher A. Welty and Deborah L. McGuinness |
| title | Encoding Extraction as Inferences |
| number | KSL-04-06 |
| institution | Knowledge Systems, AI Laboratory |
| year | 2004 |
| Bibtex more | |
| Access Paper | |
| abstract | The analysis of natural-language text involves many different kinds of processes that might be described in multiple ways. One way to describe these processes is in terms of the semantics of their requirements and results. Such a description makes it possible to view these processes as analogous to inference rules in a theorem-proving system. This analogy is useful for meta cognition because there is existing theory and infrastructure for manipulating inference rules. We describe a taxonomy of text extraction tasks that we have represented as inference rules. We also describe a working system that encodes the behavior of text analysis components as a graph of inferences. This representation is currently used to present browsable explanations of text extraction to a user; in future work, we expect to perform additional automated reasoning over this encoding of text analysis processes. |
| KSL Technical Report ID: KSL-04-06 |
Facts about Encoding Extraction as InferencesRDF feed
| Abstract | The analysis of natural-language text invo … The analysis of natural-language text involves many different kinds of processes that might be described in multiple ways. One way to describe these processes is in terms of the semantics of their requirements and results. Such a description makes it possible to view these processes as analogous to inference rules in a theorem-proving system. This analogy is useful for meta cognition because there is existing theory and infrastructure for manipulating inference rules. We describe a taxonomy of text extraction tasks that we have represented as inference rules. We also describe a working system that encodes the behavior of text analysis components as a graph of inferences. This representation is currently used to present browsable explanations of text extraction to a user; in future work, we expect to perform additional automated reasoning over this encoding of text analysis processes. this encoding of text analysis processes. |
| Author | J. William Murdock and Paulo Pinheiro da Silva and David A. Ferrucci and Christopher A. Welty and Deborah L. McGuinness + |
| Bibtype | techreport + |
| Has author | J. William Murdock and Paulo Pinheiro da Silva and David A. Ferrucci and Christopher A. Welty and Deborah L. McGuinness + |
| Has identifier | KSL-04-06 + |
| Has publishing details | 2004 + |
| Has title | Encoding Extraction as Inferences + |
| Has where published | KSL-04-06 + |
| Has year | 2004 + |
| Institution | Knowledge Systems, AI Laboratory + |
| Ksl tr id | KSL-04-06 + |
| Number | KSL-04-06 + |
| Process note | YES + |
| Title | Encoding Extraction as Inferences + |
| Year | 2004 + |
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