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Question-answering system for biographies using name entity extraction technique

By: Ramos, Myra B

Publisher: Cebu City ; CIT-U ; 2012DDC classification: T R1476 201 Summary: This project is a question- answering systems for biographies using name entity extraction. Biographies in the MS Word, Open Office documents, PDF and text files serves as an input to the system. This paper discussed how to extract name entities using automata theory particularly deterministic machines. This system as also implemented using Java Programming Language. Name entity is a term used for proper nouns, classifies as person, location, organization, dates, and monetary. Name entity extraction is a subtask of Information Retrieval. Extracting a name entity opens a way to easier classify a person or organization and quick information retrieval. For further enhancement, it s advised that this project would serve as a research that would contribute in many natural language processing subtasks most probably in information retrieval.

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Item type	Current location	Home library	Call number	Status	Date due	Barcode	Item holds
RESERVED BOOKS	COLLEGE LIBRARY	COLLEGE LIBRARY	T R1476 201 (Browse shelf)	Available		T1674

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This project is a question- answering systems for biographies using name entity extraction. Biographies in the MS Word, Open Office documents, PDF and text files serves as an input to the system. This paper discussed how to extract name entities using automata theory particularly deterministic machines. This system as also implemented using Java Programming Language.

Name entity is a term used for proper nouns, classifies as person, location, organization, dates, and monetary. Name entity extraction is a subtask of Information Retrieval. Extracting a name entity opens a way to easier classify a person or organization and quick information retrieval.

For further enhancement, it s advised that this project would serve as a research that would contribute in many natural language processing subtasks most probably in information retrieval.

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