The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Extracting company names from text
Abstract
A detailed description is given of an implemented algorithm that extracts company names automatically from financial news. Extracting company names from text is one problem; recognizing subsequent references to a company is another. The author addresses both problems in an implemented, well-tested module that operates as a detachable process from a set of natural language processing tools. She implements a good algorithm by combining heuristics, exception lists and extensive corpus analysis. The algorithm generates the most likely variations that those names may go by, for use in subsequent retrieval. Tested on over one million words of naturally occurring financial news, the system has extracted thousands of company names with over 95% accuracy (precision) compared to a human, and succeeded in extracting 25% more companies than were indexed by a human.>
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SCISOR: extracting information from on-line news
Jacobs, P. S., & Rau, L. F. (1990) · Communications of the ACM · doi:10.1145/92755.92769 · Cited by 215
Self-citationUsing Multiple Knowledge Sources for Word Sense Discrimination
McRoy, S. (1992) · Cited by 146
Cited by
A survey of named entity recognition and classification
Nadeau, D., & Sekine, S. (2007) · Lingvisticae Investigationes · doi:10.1075/li.30.1.03nad · Cited by 2,507
Cowie, J., & Lehnert, W. (1996) · Communications of the ACM · doi:10.1145/234173.234209 · Cited by 731
Aggarwal, C. C. (2015) · Data Mining · doi:10.1007/978-3-319-14142-8_13 · Cited by 606
Callan, J. P., Croft, W. B., & Harding, S. M. (1992) · Database and Expert Systems Applications · doi:10.1007/978-3-7091-7557-6_14 · Cited by 522
Metadata
- Authors
- Rau, L. F.
- Venue
- [1991] Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-12-10
- Volume
- i
- Pages
- 29-32
- OpenAlex
- W2117772341
- Cited by
- 264
- References
- 2
- FWCI
- 1.90
- Type
- conference paper
- Language
- en
- Open access
- closed
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