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Extracting personal names from email: applying named entity recognition to informal text
Open accessAbstract
There has been little prior work on Named Entity Recognition for "informal" documents like email. We present two methods for improving performance of person name recognizers for email: email-specific structural features and a recall-enhancing method which exploits name repetition across multiple documents.
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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
Sarawagi, S. (2008) · Foundations and Trends in Databases · doi:10.1561/1900000003 · Cited by 707
Text Mining in Big Data Analytics
Hassani, H., Beneki, C., Unger, S., Mazinani, M. T., & Yeganegi, M. R. (2020) · Big Data and Cognitive Computing · doi:10.3390/bdcc4010001 · Cited by 317
The potential of social media in delivering transport policy goals
Gal-Tzur, A., Grant-Muller, S. M., Kuflik, T., Minkov, E., Nocera, S., & Shoor, I. (2014) · Transport Policy · doi:10.1016/j.tranpol.2014.01.007 · Cited by 148
Self-citationNamed entity recognition for tweets
Liu, X., Wei, F., Zhang, S., & Zhou, M. (2013) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2414425.2414428 · Cited by 61
Metadata
- Authors
- Minkov, E., Wang, R. C., & Cohen, W. W.
- Venue
- Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05
- Published
- 2005
- Pages
- 443-450
- OpenAlex
- W2056354103
- Cited by
- 161
- References
- 0
- FWCI
- 5.49
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Minkov, E., Wang, R. C., & Cohen, W. W. (2005). Extracting personal names from email: applying named entity recognition to informal text. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05. https://doi.org/10.3115/1220575.1220631
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
