The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Automatic segmentation of text into structured records
Abstract
In this paper we present a method for automatically segmenting unformatted text records into structured elements. Several useful data sources today are human-generated as continuous text whereas convenient usage requires the data to be organized as structured records. A prime motivation is the warehouse address cleaning problem of transforming dirty addresses stored in large corporate databases as a single text field into subfields like “City” and “Street”. Existing tools rely on hand-tuned, domain-specific rule-based systems.
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Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Cited by
Sarawagi, S. (2008) · Foundations and Trends in Databases · doi:10.1561/1900000003 · Cited by 707
Self-citation(2004) · Cited by 610
Metadata
- Authors
- Borkar, V., Deshmukh, K., & Sarawagi, S.
- Venue
- Proceedings of the 2001 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 2001-05
- Pages
- 175-186
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2029873015
- Cited by
- 217
- References
- 1
- FWCI
- 15.89
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Automatic segmentation of text into structured records. https://app.cochat.ai/papers/10.1145/375663.375682
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- Borkar, V., Deshmukh, K., & Sarawagi, S. (2001). Automatic segmentation of text into structured records. Proceedings of the 2001 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/375663.375682
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
