Approaches to Automatic Text Structuring
Structured text helps readers to better understand the content of documents. In classic newspaper texts or books, some structure already exists. In the Web 2.0, the amount of textual data, especially user-generated data, has increased dramatically. As a result, there exists a large amount of textual...
Main Author: | Erbs, Nicolai |
---|---|
Format: | Others |
Language: | English en |
Published: |
2015
|
Online Access: | http://tuprints.ulb.tu-darmstadt.de/4959/7/Erbs_AutomaticTextStructuring.pdf Erbs, Nicolai <http://tuprints.ulb.tu-darmstadt.de/view/person/Erbs=3ANicolai=3A=3A.html> : Approaches to Automatic Text Structuring. Technische Universität, Darmstadt [Ph.D. Thesis], (2015) |
Similar Items
-
Principled Approaches to Automatic Text Summarization
by: Peyrard, Maxime
Published: (2019) -
Automatic Structured Text Summarization with Concept Maps
by: Falke, Tobias
Published: (2019) -
A probabilistic approach for automatic text filtering.
Published: (1998) -
A review on automatic text summarization approaches
by: Basiron, H., et al.
Published: (2016) -
An evolutionary approach to automatic Chinese text segmentation
by: Zhang, Dong
Published: (2012)