Incrementally Trainable Statistical Approach to Information Extraction - Based on Token Classification and Rich Context Model

Name: Incrementally Trainable Statistical Approach to Information Extraction - Based on Token Classification and Rich Context Model
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783639001464
Price: 75.63 EUR
Availability: InStock

Autor: Christian Siefkes

Jazyk:

Väzba: Brožovaná

Vydavateľ: VDM Verlag Dr. Mueller E.K.

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75.63 €

Most of the information stored in digital form is hidden in natural§language texts. The purpose of I...

Informácie o knihe

Autor

Christian Siefkes

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2008

Stránok

220

EAN

9783639001464

ISBN

363900146X

Enbook ID

06810329

Vydavateľ

VDM Verlag Dr. Mueller E.K.

Hmotnosť

299

Rozmery

152 x 229 x 12

Kompletný popis

Most of the information stored in digital form is hidden in natural§language texts. The purpose of Information Extraction (IE) is to find§desired pieces of information in unstructured or weakly structured texts§and store them in a form that is suitable for automatic querying and§processing.§§This book presents a innovative approach to statistical information§extraction. It introduces a new algorithm which supports functionality not§available in previous IE systems, such as interactive incremental training§to reduce the human training effort. The system also utilizes new sources§of information, employing rich tree-based context representations to§combine document structure (HTML or XML markup) with linguistic and§semantic information.§§The resulting IE system is designed as a generic framework for statistical§information extraction. All core components can be modified or exchanged§independently of each other.§§This book is of interest for professionals who have to deal with large§amounts of weakly structured information and seek ways to automate this§process, as well as for researchers and practitioners active in the fields§of text mining and text classification.

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Incrementally Trainable Statistical Approach to Information Extraction - Based on Token Classification and Rich Context Model

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