Modeling, Learning, and Processing of Text Technological Data Structures

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mehler, Alexander (Επιμελητής έκδοσης), Kühnberger, Kai-Uwe (Επιμελητής έκδοσης), Lobin, Henning (Επιμελητής έκδοσης), Lüngen, Harald (Επιμελητής έκδοσης), Storrer, Angelika (Επιμελητής έκδοσης), Witt, Andreas (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Σειρά: Studies in Computational Intelligence, 370
• Θέματα: Engineering.; Artificial intelligence.; Computational linguistics.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Language Translation and Linguistics.; Artificial Intelligence (incl. Robotics).; Computational Linguistics.

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...

Πίνακας περιεχομένων:

• 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.