Results 81 to 90 of about 4,868 (229)
Dynamic verbs in the Wordnet of Polish
Cognitive Studies | Études cognitives, 2018 Dynamic verbs in the Wordnet of Polish The paper presents patterns of co-occurrences of wordnet relations involving verb lexical units in plWordNet - a large wordnet of Polish.
Agnieszka Dziob, Maciej Piasecki
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Non-Lexicalized Concepts in Wordnets: A Case Study of English and Hungarian [PDF]
, 2014 Veronika Vincze, Attila Almási
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Semi-automatic Annotation of Event Structure, Argument Structure, and Opposition Structure to WordNet by Using Event Structure Frame [PDF]
, 2019 Seohyun Im
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XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning [PDF]
, 2021 Yuxin Jiang +4 more
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Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches
, 2021 Xing Chen +4 more
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Designing and Developing a Wordnet for Persian Nouns Pages
International Journal of Information and Communication Technology Research, 2009 This paper discusses the process of designing and developing the Persian noun Wordnet as an important tool for natural language processing. First, an introduction to the most significant projects for building WordNets around the world and their prominent
Akbar Ehsani +3 more
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WORD SENSE DISAMBIGUATION USING FUZZY SEMANTIC-BASED STRING SIMILARITY MODEL
Malaysian Journal of Computing, 2018 Sentences are the language of human communication. This communication medium is so fluid that words and meaning can have many interpretations by readers.
Amir Abd-Rashid, Shuzlina Abdul-Rahman, Nor Nadiah Yusof, Azlinah Mohamed
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Linguamática, 2013 El uso de recursos semánticos de amplia cobertura y dominio general se ha convertido en una práctica común y a menudo necesaria para los sistemas actuales de Procesamiento del Lenguaje Natural (PLN).
Aitor Gonzalez-Agirre, German Rigau
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Semantic-Enhanced News Clustering Using TF-IDF and WordNet with K-Means
Journal of Information Systems and InformaticsText clustering of news articles falls under unsupervised learning, where models operate on unlabeled data unless partially annotated. K-Means Clustering remains one of the most commonly applied algorithms due to its efficiency and simplicity.
Mohammad Yusuf Hidayat +2 more
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