Semi-supervised Bootstrapping approach for Named Entity Recognition

Understand

The aim of Named Entity Recognition (NER) is to identify references of named entities in unstructured documents, and to classify them into pre-defined semantic categories.

• NER often aids from added background knowledge in the form of gazetteers.
• However using such a collection does not deal with name variants and cannot resolve ambiguities associated in identifying the entities in context and associating them with predefined categories.
• We present a semi-supervised NER approach that starts with identifying named entities with a small set of training data.