[HTML][HTML] A recent overview of the state-of-the-art elements of text classification
The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …
classification. For this purpose, we first select and investigate the primary and recent studies …
Task-driven cleaning and pruning of noisy knowledge graph
C Wu, Z Zeng, Y Yang, M Chen, X Peng, S Liu - Information Sciences, 2023 - Elsevier
Many knowledge graphs, especially those that are collaboratively or automatically
generated, are prone to noise and cross-domain entries, which can impede domain-specific …
generated, are prone to noise and cross-domain entries, which can impede domain-specific …
[HTML][HTML] Resilience in web-based mental health communities: Building a resilience dictionary with semiautomatic text analysis
Background Resilience is an accepted strengths-based concept that responds to change,
adversity, and crises. This concept underpins both personal and community-based …
adversity, and crises. This concept underpins both personal and community-based …
An ontological approach to enhancing information sharing in disaster response
Managing complex disaster situations is a challenging task because of the large number of
actors involved and the critical nature of the events themselves. In particular, the different …
actors involved and the critical nature of the events themselves. In particular, the different …
Information extraction system for transforming unstructured text data in fire reports into structured forms: a Polish case study
MM Mirończuk - Fire technology, 2020 - Springer
In this paper, the author presents a novel information extraction system that analyses fire
service reports. Although the reports contain valuable information concerning fire and …
service reports. Although the reports contain valuable information concerning fire and …
The BigGrams: the semi-supervised information extraction system from HTML: an improvement in the wrapper induction
MM Mirończuk - Knowledge and Information Systems, 2018 - Springer
The aim of this study is to propose an information extraction system, called BigGrams, which
is able to retrieve relevant and structural information (relevant phrases, keywords) from semi …
is able to retrieve relevant and structural information (relevant phrases, keywords) from semi …
[PDF][PDF] VideoDL: Video-Based Digital Learning Framework Using AI Question Generation and Answer Assessment.
Assessing learners' understanding and competency in video-based digital learning is time-
consuming and difficult for educators, as it requires the generation of accurate and valid …
consuming and difficult for educators, as it requires the generation of accurate and valid …
An unsupervised approach for learning a Chinese IS-A taxonomy from an unstructured corpus
Taxonomies play an important role in various Natural Language Processing (NLP) tasks (eg,
text classification, information extraction and knowledge inference). However, due to the …
text classification, information extraction and knowledge inference). However, due to the …
A hybrid-based method for Chinese domain lightweight ontology construction
J Qiu, L Qi, J Wang, G Zhang - International Journal of Machine Learning …, 2018 - Springer
This paper proposes a framework to automatically construct lightweight ontology from a
corpus of Chinese domain Web documents. A hybrid-based method was used for domain …
corpus of Chinese domain Web documents. A hybrid-based method was used for domain …
Category tree distance: a taxonomy-based transaction distance for web user analysis
With the emergence of webpage services, huge amounts of customer transaction data are
flooded in cyberspace, which are getting more and more useful for profiling users and …
flooded in cyberspace, which are getting more and more useful for profiling users and …