Description: Advanced Applications of Natural Language Processing for Performing Information Extraction, Paperback by Rodrigues, Mario; Teixeira, Antonio, ISBN 3319155628, ISBN-13 9783319155623, Like New Used, Free shipping in the US
This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. Th discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. Th also discusses concrete applications illustrating IE uses.
Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for the software developer and providing references for specialized literature in the area
Presents a comprehensive list of freely available, high quality software for several subtasks of IE and for several natural languages
Describes a generic architecture that can learn how to extract information for a given application domain
Price: 68.92 USD
Location: Jessup, Maryland
End Time: 2025-01-16T08:55:37.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Advanced Applications of Natural Language Processing for Performi
Number of Pages: VIII, 75 Pages
Publication Name: Advanced Applications of Natural Language Processing for Performing Information Extraction
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2015
Subject: Signals & Signal Processing, Natural Language Processing, Speech & Audio Processing, Linguistics / General
Item Weight: 55.3 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering, Language Arts & Disciplines
Author: António Joaquim Da Silva Teixeira, Mário Jorge Ferreira Rodrigues
Item Width: 6.1 in
Series: Springerbriefs in Speech Technology Ser.
Format: Trade Paperback
