Showing 41 - 60 results of 198 for search '"WordNet"', query time: 0.12s Refine Results
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    Dynamic verbs in the Wordnet of Polish by Agnieszka Dziob, Maciej Piasecki

    Published 2018-12-01
    Subjects: “…plWordNet…”
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    Article
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    Generating a Malay sentiment lexicon based on wordnet by Nur Sharmini Alexander, Nazlia Omar

    Published 2017
    “…The objective of this paper is to develop Malay sentiment lexicon generation algorithm based on WordNet. In this study, the method is to map the WordNet Bahasa with English WordNet to get the offset value of a seed set of sentiment words. …”
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    Article
  17. 57

    Ontology of Unified Medical Language System (UMLS) Metathesaurus by Sedigheh Mohammadesmaeil, Laleh Samadi

    Published 2010-11-01
    “…Additional The set of 11,634 UMLS concepts from the ANIMAL class was mapped to WordNet, whose ANIMAL class contains 3,984 synsets. 2,154 concepts (19%) were found in WordNet, 73% of them in the WordNet ANIMAL class. …”
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    Article
  18. 58

    Building an Arabic Sentiment Lexicon Using Semi-supervised Learning by Fawaz H.H. Mahyoub, Muazzam A. Siddiqui, Mohamed Y. Dahab

    Published 2014-12-01
    “…One such resource is the SentiWordNet, which assigns sentiment scores to words found in the English WordNet. …”
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    Article
  19. 59

    Effective method for sentiment lexical dictionary enrichment based on Word2Vec for sentiment analysis by Alshari, Eissa Mohammed Mohsen, Azman, Azreen, C. Doraisamy, Shyamala, Mustapha, Norwati, Alksher, Mostafa Ahmed

    Published 2018
    “…Recently, many researchers have shown interest in using lexical dictionary for sentiment analysis. The SentiWordNet is the most used sentiment lexical to determine the polarity of texts. …”
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    Conference or Workshop Item
  20. 60

    Verb Classes and Alternations in Bangla, German, English, and Korean by Jones, Douglas A., Berwick, Robert C., Cho, Franklin, Khan, Zeeshan, Kohl, Karen T., Nomura, Naoyuki, Radhakrishnan, Anand, Sauerland, Ulrich, Ulicny, Brian

    Published 2004
    “…We also explore ways in which our findings may be used to enhance WordNet in two ways: making the English syntactic information of WordNet more fine-grained, and making WordNet multilingual.…”
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