A hybrid method using ensembles of neural network and text mining for learner satisfaction analysis from big datasets in online learning platform
Computational intelligence approaches have proven to be effective in enhancing online
learning systems. Although many studies have been conducted to reveal the learners' …
learning systems. Although many studies have been conducted to reveal the learners' …
[PDF][PDF] Using public domain resources and off-the-shelf tools to produce high-quality multimedia texts
In the turbulent world of 2022, where mass population movements due to war and disaster
are becoming increasingly common, language skills are more relevant than ever. People …
are becoming increasingly common, language skills are more relevant than ever. People …
OntoSeg: a novel approach to text segmentation using ontological similarity
Text segmentation (TS) aims at dividing long text into coherent segments which reflect the
subtopic structure of the text. It is beneficial to many natural language processing tasks, such …
subtopic structure of the text. It is beneficial to many natural language processing tasks, such …
Edge-based inpainting and texture synthesis for image compression
Towards visual quality rather than pixel-wise fidelity, we propose an image coding scheme
integrated with edge-based in-painting and texture synthesis. In this scheme, an original …
integrated with edge-based in-painting and texture synthesis. In this scheme, an original …
[HTML][HTML] Unsupervised methods for learning and using semantics of natural language
M Riedl - 2016 - tuprints.ulb.tu-darmstadt.de
Teaching the computer to understand language is the major goal in the field of natural
language processing. In this thesis we introduce computational methods that aim to extract …
language processing. In this thesis we introduce computational methods that aim to extract …
A deep neural network model with multihop self-attention mechanism for topic segmentation of texts
F Nouar, H Belhadef - International Conference of Reliable Information and …, 2020 - Springer
Topic segmentation is an important task in the field of natural language processing (NLP),
which finds its importance in applications such as information retrieval, text summarization, e …
which finds its importance in applications such as information retrieval, text summarization, e …
[HTML][HTML] Informationsbeschaffung aus digitalen Textressourcen-Domänenadaptive Verfahren zur Strukturierung heterogener Textdokumente
S Schmidt - 2016 - tuprints.ulb.tu-darmstadt.de
In der heutigen Informationsgesellschaft sind Personen häufig mit der sogenannten
Informationsüberflutung konfrontiert. Dies bedeutet, dass es aufgrund der enormen Menge …
Informationsüberflutung konfrontiert. Dies bedeutet, dass es aufgrund der enormen Menge …