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However, the final embedding table of Word2vec is stationary, regardless of the upstream and downstream context information of the given word, which may lead to errors regarding the true meaning of the word in its local context. Since BERT67 achieved great success in natural language processing ...
Yuxuan Wang, Yutai Hou, Wanxiang Che, Ting Liu From Word to Sense Embeddings: A Survey on Vector Representations of Meaning. J. Artif. Intell. Res. 2018 paper bib José Camacho-Collados, Mohammad Taher Pilehvar Graph Neural Networks for Natural Language Processing: A Survey. arXiv 2021 pape...
(2019) recognized the importance of cultural heritage in reuniting the community with the places and objects that belong to them in order to return to the value of the relationship between the site and its surroundings, informally understand the object and its symbolic meaning in the history of ...
Yuxuan Wang, Yutai Hou, Wanxiang Che, Ting Liu From Word to Sense Embeddings: A Survey on Vector Representations of Meaning. Journal of Artificial Intelligence Research 2018 paper bib Jose Camachocollados, Mohammad Taher Pilehvar Natural Language Processing Advancements By Deep Learning: A Survey. ...
To measure these dynamic processes, a ‘systems approach’ is used, meaning that multiple biomarkers, preferably of different integration levels (e.g., gene, protein, metabolite, but also a physiological response, images, etc.) are analyzed at different time points and integrated into models [11...
In the emulator, Scenario 1 was composed of STEPs 1 to 10, and Scenario 2 was composed of STEPs 11 to 20, meaning that these two individual scenarios have no precedence relationship between them. In this study, for the fast detection of and response to APT attacks, an experiment was ...
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