Knowledge-Based Extraction of Named Entities (2002)
by
Jamie Callan
,
Teruko Mitamura
| Citations: | 15 - 0 self |
BibTeX
@MISC{Callan02knowledge-basedextraction,
author = {Jamie Callan and Teruko Mitamura},
title = {Knowledge-Based Extraction of Named Entities},
year = {2002}
}
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Abstract
The usual approach to named-entity detection is to learn extraction rules that rely on linguistic, syntactic, or document format patterns that are consistent across a set of documents. However, when there is no consistency among documents, it may be more e#ective to learn document-specific extraction rules.
Citations
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| 128 | Rosenreid R. Learning hidden Markov model structure for information extraction - Seymore, McCallum - 1999 |
| 49 | Web-collaborative filtering: recommending music by crawling the web - Cohen, Fan - 2000 |
| 26 | Information retrieval by text skimming - Mauldin - 1989 |
| 18 | Extracting company names from text - Rau - 1991 |
| 9 | Learning to understand the web - Cohen, McCallum, et al. - 2000 |
| 6 | An accurate morphological analysis and proper name identification for Japanese text processing - Kitani, Mitamura - 1994 |
| 2 | MUC-7 named entity task definition dry run version, version 3.5 - Chincor - 1998 |
