Modeling, learning, and processing of text technological data structures

Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication. The book Modelling, Learning and Processing of Text-Technological Data Structures deals with this challenging information unit. It fo...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Mehler, Alexander
অন্যান্য লেখক: Kühnberger, Kai-Uwe (Editor), Lobin, Henning (Editor), Lüngen, Harald (Editor), Storrer, Angelika (Editor), Witt, Andreas (Editor), Mehler, Alexander, 1967- (Editor), Lobin, Henning, 1964- (Editor)
বিন্যাস: Livre numérique
ভাষা:Anglais
প্রকাশিত: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
সংস্করন:1st ed. 2012.
মালা:Studies in Computational Intelligence 370
বিষয়গুলি:
অনলাইন ব্যবহার করুন:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
টীকা: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Modeling, learning, and processing of text technological data structures, 978-3-642-22612-0
• Modeling, Learning, and Processing of Text-Technological Data Structures, Texte imprimé, 9783642269448
• Modeling, Learning, and Processing of Text-Technological Data Structures, Texte imprimé, 9783642226120
• Modeling, Learning, and Processing of Text-Technological Data Structures, Texte imprimé, 9783642226144
সূচিপত্রের সারণি:
  • Part I Text Parsing: Data Structures, Architecture and Evaluation Part II Measuring Semantic Distance: Methods, Resources, and Applications Part III From Textual Data to Ontologies, from Ontologies to Textual Data Part IV Multidimensional Representations: Solutions for Complex Markup Part V Document Structure Learning Part VI Interfacing Textual Data, Ontological Resources and Document Parsing.
  • Part I Text Parsing: Data Structures, Architecture and Evaluation
  • Part II Measuring Semantic Distance: Methods, Resources, and Applications
  • Part III From Textual Data to Ontologies, from Ontologies to Textual Data
  • Part IV Multidimensional Representations: Solutions for Complex Markup
  • Part V Document Structure Learning
  • Part VI Interfacing Textual Data, Ontological Resources and Document Parsing