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Annotating, Extracting and Reasoning about Time and Events - International Seminar, Dagstuhl Castle, Germany, April 20-15, 2005, Revised Papers (Paperback, 2007 ed.) Loot Price: R1,521
Discovery Miles 15 210
Annotating, Extracting and Reasoning about Time and Events - International Seminar, Dagstuhl Castle, Germany, April 20-15,...

Annotating, Extracting and Reasoning about Time and Events - International Seminar, Dagstuhl Castle, Germany, April 20-15, 2005, Revised Papers (Paperback, 2007 ed.)

Frank Schilder, Graham Katz, James Pustejovsky

Series: Lecture Notes in Computer Science, 4795

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Loot Price R1,521 Discovery Miles 15 210 | Repayment Terms: R143 pm x 12*

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This state-of-the-art survey comprises a selection of the material presented at the International Dagstuhl Seminar on Annotating, Extracting and Reasoning about Time and Events, held in Dagstuhl Castle, Germany, in April 2005.

The seminar centered around an emerging de facto standard for time and event annotation: TimeML. The 9 papers included in the book constitute the thoroughly cross-reviewed and revised versions of selected summaries and findings presented and discussed at the seminar.

The papers feature current research and discuss open problems concerning annotation, temporal reasoning, and event identification. The main concern is with the determination of the effectivity of the TimeML language for consistent annotation, the determination of the usefulness of such annotations for further processing, and the question as to which modifications should be applied to the standard to improve its convenience in applications such as question-answering and information retrieval.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Computer Science, 4795
Release date: November 2007
First published: 2007
Editors: Frank Schilder • Graham Katz • James Pustejovsky
Dimensions: 235 x 155 x 8mm (L x W x T)
Format: Paperback
Pages: 144
Edition: 2007 ed.
ISBN-13: 978-3-540-75988-1
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-540-75988-3
Barcode: 9783540759881

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