Entity Extraction

• A Gentle Introduction to Entity Extraction  Wave a magic wand and instantly know what people, places and, organizations are mentioned in a huge stack of documents. That is the “magic” of entity extraction. While quite elegant at the surface, this technology is a truly complex topic. In this introductory talk, we’ll explain all the basics and our multi-faceted approach to entity extraction. Topics will include definitions, use cases, evaluation metrics, and its benefits.

  Presentation by Brandon Mensing at Basis Technology’s Government Users Conference in Chantilly, VA on June 8-9, 2010

• Sit! Down! Extract! Teaching New Tricks to Your Entity Extractor  No matter how well-trained an entity extraction system may be, it will always perform best on the type of text it was trained on, which frequently is not your text. This tutorial details step-by-step how to customize Rosette Entity Extractor (REX) to achieve the extraction results on the text you must process, and the features of REX to handle text from tables and databases. This tutorial covers writing new regular expressions to extract entities with regular patterns, creating gazetteer databases of entities, and configuring the redactor to return the desired entity when there is a possibility of more than one. The tutorial is targeted at engineers and developers.

  Presentation by Brandon Mensing at Basis Technology’s Government Users Conference in Chantilly, VA on June 8-9, 2010

• Demystifying Entity Extraction Quality  This presentation surveys the types of measurements used for entity extraction quality, and discusses techniques to better extract the data you’re looking for when general language models don’t fit your needs.

  Presentation by Charlotte Shabarekh at Basis Technology’s Government Users Conference in College Park, MD on May 20, 2008.