[HTML][HTML] Word sense disambiguation: A comprehensive knowledge exploitation framework
Abstract Word Sense Disambiguation (WSD) has been a basic and on-going issue since its
introduction in natural language processing (NLP) community. Its application lies in many …
introduction in natural language processing (NLP) community. Its application lies in many …
[HTML][HTML] Exploiting semantic similarity for named entity disambiguation in knowledge graphs
G Zhu, CA Iglesias - Expert Systems with Applications, 2018 - Elsevier
With the increasing popularity of large scale Knowledge Graph (KG) s, many applications
such as semantic analysis, search and question answering need to link entity mentions in …
such as semantic analysis, search and question answering need to link entity mentions in …
Data expansion using wordnet-based semantic expansion and word disambiguation for cyberbullying detection
Automatic identification of cyberbullying from textual content is known to be a challenging
task. The challenges arise from the inherent structure of cyberbullying and the lack of …
task. The challenges arise from the inherent structure of cyberbullying and the lack of …
Longitudinal study of a website for assessing American Presidential candidates and decision making of potential election irregularities detection
J Piper, JA Rodger - International Journal on Semantic Web and …, 2022 - igi-global.com
We employ the concept of word sense disambiguation to determine the inherent meaning of
voter intentions regarding possible political candidates from the 2016 Presidential election …
voter intentions regarding possible political candidates from the 2016 Presidential election …
[PDF][PDF] Supervised word sense disambiguation with recurrent neural network model
Disambiguating words is a branch of artificial intelligence that deals with natural language
processing. The dissatisfaction of the motive of the word deals with the polysemy of the …
processing. The dissatisfaction of the motive of the word deals with the polysemy of the …
An adaptive algorithm for polysemous words in natural language processing
In this research article the supervised adaptive approach for word sense disambiguation is
discussed. The most critical and identified problem of natural language understanding is the …
discussed. The most critical and identified problem of natural language understanding is the …
T2Know: An Advance Scientific-Tecnical Text Analysis Platform for Trend and Knowledge Extraction Using NLP Techniques
The project T2Know presents the use of natural language processing technologies for the
creation of a semantic platform of scientific documents via knowledge graphs. This …
creation of a semantic platform of scientific documents via knowledge graphs. This …
Extracting geographic features from the Internet: A geographic information mining framework
In this paper, we propose a Geographic Information Mining framework to contribute some
exploratory results concerning harvesting the featured place information entities from the …
exploratory results concerning harvesting the featured place information entities from the …
Weighted Co-Occurrence Bio-Term Graph for Unsupervised Word Sense Disambiguation in the Biomedical Domain
Z Zhang, Y Jia, X Zhang, M Papadopoulou… - IEEE …, 2023 - ieeexplore.ieee.org
Word Sense Disambiguation (WSD) is a significant and challenging task for text
understanding and processing. This paper presents an unsupervised approach based on …
understanding and processing. This paper presents an unsupervised approach based on …
An adaptive algorithm for lexical ambiguity in word sense disambiguation
The lexical ambiguity in word sense disambiguation is a crucial problem in the fields of
machine translation and information retrieval. The lexical ambiguity causes because of …
machine translation and information retrieval. The lexical ambiguity causes because of …