The paper describes the usage of self-learning Hierarchical LSTM technique for classifying
hatred and trolling contents in social media code-mixed data. The Hierarchical LSTM-based …

Ontology provides a formal representation of knowledge as a set of concepts within a
domain and the relationships between them. Ontology Matching (OM) identifies similar …

Questions are crucial expressions in any language. Many Natural Language Processing
(NLP) or Natural Language Understanding (NLU) applications, such as question-answering …

WordNets organize words into synonymous word sets, and the connections between words
present the semantic relationships between them, which have become an indispensable …

Measuring semantic relatedness has received much attention for uses in many fields such
as information retrieval and natural language processing. For handling synonymous …

This article tackles the problem of finding similarity between web time-sensitive news
articles, which can be a challenge. This challenge was approached with a novel …

The importance of prerequisites for education has recently become a promising research
direction. This work proposes a statistical model for measuring dependencies in learning …

Text processing has been playing a great role in information retrieval to solve the problem of
ambiguity in natural language processing, eg, internet search, data mining, and social …

Personalized advertisement push method based on semantic similarity and data mining is
studied in this paper. According to existing research, it is difficult to use one of them alone to …

Quran retrieval system is becoming an instrument for users to search for needed information.
The search engine is one of the most popular search engines that successfully implemented …