- Rishav Bhowmick, Michael Heilman, Kemal Oflazer, Behrang Mohit, Noah A. Smith. 2010. Rich entity recognition in English text. Abstract: AbstractEntity type recognition is used as a pre-processing step in common applications like summarization of text, classifying documents or automatic answering of questions posed in natural language. Here, ‘entity’ refers to concrete and abstract objects identified by proper and common nouns. Entity recognition focuses on detecting instances of types like person, location, organization, and so on. For example, an entity recognizer would take as input:George Washington was the first President of the United States of America. and output: George Washington was the first President of the United States of America .The task can be performed using machine learning techniques to train a system that recognizes entities with performance comparable to a human annotator. Challenges like the lack of a large annotated training data corpus, impossible nature of listing all entity types, and ambiguity in language make this problem h...
