Named entity recognition

Named Entity Recognition (NER) is the process of identifying and extracted named entities such as People, Places, Things and Time from natural language documents.

Named Entity Recognition is a growing part of computer forensics. Please see Wikipedia's article on Named entity recognition for complete information. The remainder of this article stresses aspects of NER that are relevant to current forensics practice and research.

Toolkits

Bibliography

• Semi-Supervised Named Entity Recognition: Learning to Recognize 100 Entity Types with Little Supervision, David Nadeau, PhD Thesis, Ottawa-Carleton Institute for Computer Science, School of Information Technology and Engineering, University of Ottawa, 2007

See Also

• Wikipedia's article on Named entity recognition
• US Patent 7299180 - Name entity extraction using language models
• NYU's Name/Entity Extraction Engine
• DARPA's Global Autonomous Language Exploitation (GALE) program
• GATE - A General Architecture for Text Engineering
• Information Extraction with GATE (slides)