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Eliane Cristina Sampaio de Freitas,Haroldo Nogueira de Paiva,Helio Garcia Leite,Silvio Nolasco de Oliveira Neto
Pág. 509 - 519
O objetivo deste estudo foi avaliar o crescimento e a qualidade de mudas de Cassia grandis Linnaeus f. (cássia-rosa) em função da adubação fosfatada e da calagem. Os tratamentos foram representados por um fatorial de seis níveis de fósforo (0, 120, 240, ...
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Zhen Sun and Xinfu Li
Named entity recognition can deeply explore semantic features and enhance the ability of vector representation of text data. This paper proposes a named entity recognition method based on multi-head attention to aim at the problem of fuzzy lexical bounda...
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Ali M. Ahmed Al Sabaawi,Hacer Karacan,Yusuf Erkan Yenice
Pág. pp. 70 - 87
Recently, Recommender Systems (RSs) have attracted many researchers whose goal is to improve the performance of the prediction accuracy of recommendation systems by alleviating RSs drawbacks. The most common limitations are sparsity and the cold-start pr...
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Haiyan Li and Hongtao Lu
Text detection is a prerequisite for text recognition in scene images. Previous segmentation-based methods for detecting scene text have already achieved a promising performance. However, these kinds of approaches may produce spurious text instances, as ...
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Yu Wang, Yining Sun, Zuchang Ma, Lisheng Gao and Yang Xu
Named Entity Recognition (NER) is the fundamental task for Natural Language Processing (NLP) and the initial step in building a Knowledge Graph (KG). Recently, BERT (Bidirectional Encoder Representations from Transformers), which is a pre-training model,...
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