Artificial intelligence is often explained through algorithms, hardware breakthroughs, and the rapid rise of powerful models. What is frequently missing from that narrative is the human story behind ...
Abstract: Measuring lexical similarity using WordNet has a long tradition. In the last decade, it has been challenged by distributional methods, and more recently by neural word embedding. In recent ...
Abstract: This paper presents a method of extracting domain ontology based on WordNet and Internet. Domain concepts are extracted from WordNet which contains concepts of almost all the fields. The ...
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