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Word2vec for Arabic Word Sense Disambiguation
2018Word embedding, where words are represented as vectors in a continuous space, has recently attracted much attention in natural language processing tasks due to their ability to capture semantic and syntactic relations between words from a huge amount of text.
Rim Laatar +2 more
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Stability of Word Embeddings Using Word2Vec
2018The word2vec model has been previously shown to be successful in creating numerical representations of words (word embeddings) that capture the semantic and syntactic meanings of words. This study examines the issue of model stability in terms of how consistent these representations are given a specific corpus and set of model parameters. Specifically,
Mansi Chugh +2 more
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Sentiment Analysis Using Word2vec And Long Short-Term Memory (LSTM) For Indonesian Hotel Reviews
Procedia Computer Science, 2021Retno Kusumaningrum, Adi Wibowo
exaly
Augmenting word2vec with latent
Proceedings of the 2019 Conference of the North, 2019Akshay Budhkar, Frank Rudzicz
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2020
HASHIMOTO Tomomi, TAO Xingyu
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HASHIMOTO Tomomi, TAO Xingyu
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kmer2vec: A Novel Method for Comparing DNA Sequences by word2vec Embedding
Journal of Computational Biology, 2022Changchuan Yin, Stephen S -T Yau
exaly