• A Word Embedding Based Approach for Focused Web Crawling Using the Recurrent Neural Network 

      Dhanith, P. R. Joe; Surendiran, B.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Learning-based focused crawlers download relevant uniform resource locators (URLs) from the web for a specific topic. Several studies have used the term frequency-inverse document frequency (TF-IDF) weighted cosine vector ...
    • Assessing Lexical-Semantic Regularities in Portuguese Word Embeddings 

      Gonçalo Oliveira, Hugo; Sousa, Tiago; Alves, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      Models of word embeddings are often assessed when solving syntactic and semantic analogies. Among the latter, we are interested in relations that one would find in lexical-semantic knowledge bases like WordNet, also covered ...
    • Multi-sense Embeddings Using Synonym Sets and Hypernym Information from Wordnet 

      Prasad Mudigonda, Krishna Siva; Sharma, Poonam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Word embedding approaches increased the efficiency of natural language processing (NLP) tasks. Traditional word embeddings though robust for many NLP activities, do not handle polysemy of words. The tasks of semantic ...