Kernel Approach for Classification Using Conditional Random Field: Information Extraction - Softcover
Synopsis
Extracting useful information from the pool of big data gives birth to new domain known as Information Extraction. The domain of Information Extraction has its genesis in Natural Language Processing (NLP). The fundamental drift in this field takes the birth from various competitions that are focused on the recognition and extraction of named entities such as names of people, organizations etc. As the world become more data oriented by advent of internet, new applications of processing of structured and unstructured data comes in light. Most of the interest is to extract and classify named entities like person, organization and location etc. that is a subtask of Information Extraction known as Entity Extraction and Classification.
"synopsis" may belong to another edition of this title.
Search results for Kernel Approach for Classification Using Conditional...
Stock Image
Kernel Approach for Classification Using Conditional Random Field: Information Extraction
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204954598
ISBN 13: 9786204954592
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26397324968
Seller Image
Kernel Approach for Classification Using Conditional Random Field
Published by
LAP LAMBERT Academic Publishing Mai 2022, 2022
ISBN 10: 6204954598
ISBN 13: 9786204954592
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Extracting useful information from the pool of big data gives birth to new domain known as Information Extraction. The domain of Information Extraction has its genesis in Natural Language Processing (NLP). The fundamental drift in this field takes the birth from various competitions that are focused on the recognition and extraction of named entities such as names of people, organizations etc. As the world become more data oriented by advent of internet, new applications of processing of structured and unstructured data comes in light. Most of the interest is to extract and classify named entities like person, organization and location etc. that is a subtask of Information Extraction known as Entity Extraction and Classification. 68 pp. Englisch. Seller Inventory # 9786204954592
Stock Image
Kernel Approach for Classification Using Conditional Random Field: Information Extraction
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204954598
ISBN 13: 9786204954592
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 400100727
Buy New
£ 53.88
£ 6.50 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 4 available
Stock Image
Kernel Approach for Classification Using Conditional Random Field: Information Extraction
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204954598
ISBN 13: 9786204954592
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18397324962
Seller Image
Kernel Approach for Classification Using Conditional Random Field
Published by
LAP Lambert Academic Publishing, 2022
ISBN 10: 6204954598
ISBN 13: 9786204954592
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Extracting useful information from the pool of big data gives birth to new domain known as Information Extraction. The domain of Information Extraction has its genesis in Natural Language Processing (NLP). The fundamental drift in this field takes the birth. Seller Inventory # 628649204
Buy New
£ 33.67
£ 43.02 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Kernel Approach for Classification Using Conditional Random Field
Published by
LAP LAMBERT Academic Publishing Mai 2022, 2022
ISBN 10: 6204954598
ISBN 13: 9786204954592
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Extracting useful information from the pool of big data gives birth to new domain known as Information Extraction. The domain of Information Extraction has its genesis in Natural Language Processing (NLP). The fundamental drift in this field takes the birth from various competitions that are focused on the recognition and extraction of named entities such as names of people, organizations etc. As the world become more data oriented by advent of internet, new applications of processing of structured and unstructured data comes in light. Most of the interest is to extract and classify named entities like person, organization and location etc. that is a subtask of Information Extraction known as Entity Extraction and Classification.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Seller Inventory # 9786204954592
Seller Image
Kernel Approach for Classification Using Conditional Random Field : Information Extraction
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204954598
ISBN 13: 9786204954592
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Extracting useful information from the pool of big data gives birth to new domain known as Information Extraction. The domain of Information Extraction has its genesis in Natural Language Processing (NLP). The fundamental drift in this field takes the birth from various competitions that are focused on the recognition and extraction of named entities such as names of people, organizations etc. As the world become more data oriented by advent of internet, new applications of processing of structured and unstructured data comes in light. Most of the interest is to extract and classify named entities like person, organization and location etc. that is a subtask of Information Extraction known as Entity Extraction and Classification. Seller Inventory # 9786204954592
Seller Image
Kernel Approach for Classification Using Conditional Random Field | Information Extraction
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204954598
ISBN 13: 9786204954592
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Kernel Approach for Classification Using Conditional Random Field | Information Extraction | Lokesh Pawar (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204954592 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 122027566