One of the factors that determine the effectiveness of deep learning models for sentiment
analysis is the availability of high-quality training data. Data augmentation is a strategy to …

Word Sense Disambiguation (WSD) merupakan salah satu permasalahan utama dalam
pengolahan bahasa alami yang bertujuan untuk menentukan arti yang tepat dari kata-kata …

Plagiarism is widespread in academia, from ancient literature to modern research, where
scholars' work is copied and published without authorization. In the late 90s, researchers …

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

Word sense disambiguation (WSD) is a basic and persistent problem that has existed since
its inception in the natural language processing (NLP) area. The process of determining the …

Background Epistemic progress of occupational science (OS) is this paper's research
interest. In 1989, Yerxa and Clark coined occupational science to develop an academic …

This paper provides a first sense-annotated encyclopedia-based Finnish glossary for
evaluating disambiguation tasks and a simple yet transparent application-ready NED …

This paper provides a first sense-annotated encyclopedia-based Finnish glossary for
evaluating disambiguation tasks and a simple yet transparent application-ready NED …

Word Sense Disambiguation (WSD) is an open problem in Natural Language Processing
which is particularly challenging and useful in the unsupervised setting where all the words …