Automatic Information Extraction Using Hidden Markov Model: Amharic Language Text - Ibrahim Yassin Hamid - Libros - VDM Verlag Dr. Müller - 9783639103588 - 24 de junio de 2010
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Automatic Information Extraction Using Hidden Markov Model: Amharic Language Text

Ibrahim Yassin Hamid

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Automatic Information Extraction Using Hidden Markov Model: Amharic Language Text

The number and size of documents in electronic formats is rising very rapidly and due to the flexibility and ease of use, huge amount of information is stored in textual formats in unstructured way than structured materials, where important information or interesting knowledge is buried in. Information extraction (IE), which is one of text mining approaches, is found efficient in discovering particular entities or relations between the entities in free texts. This book designs, develops and evaluates an Information Extraction system for Amharic language texts, in which it extracts valuable information from the texts and put them on the predefined slots or attributes. Among a number of techniques and methods available for IE, Hidden Markov Model (HMM), a sequential labeling based method, was selected as a methodology. In this book emphasis has been given to the available algorithms in Hidden Markov Model to build an Information Extraction system and finally simple counting of correct annotations and standard Information Retrieval (IR) performance evaluation techniques was used to evaluate the system.

Medios de comunicación Libros     Paperback Book   (Libro con tapa blanda y lomo encolado)
Publicado 24 de junio de 2010
ISBN13 9783639103588
Editores VDM Verlag Dr. Müller
Páginas 104
Dimensiones 225 × 6 × 150 mm   ·   163 g
Lengua English