Aspect-based Sentiment Analysis (ABSA) task aims to predict the sentiment polarity of specific aspects within sentences, uncovering multiple sentiment-object pairs contained in review sentences. Graph neural networks ...
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ISBN:
(纸本)9798350349184;9798350349191
Aspect-based Sentiment Analysis (ABSA) task aims to predict the sentiment polarity of specific aspects within sentences, uncovering multiple sentiment-object pairs contained in review sentences. Graph neural networks based on dependency trees are popular for addressing ABSA with high effectiveness and practicality. However, how to better utilize the syntactic structure and semantics within dependency trees still remains big challenge. For this purpose, in this paper, we explore to enhance the ability of capture both syntactic dependencies and semantic information by using semantic-enhanced graphs, and propose a novel model named EMGCN (Enhancement Graph and Multi-head Attention Graph Convolutional networks) model. Additionally, we further focus on enhancing the context awareness by capturing semantic dependencies through the multi-head self-attention mechanism. Experimental validation on five datasets demonstrate the effectiveness of our proposed model.
Withthe rapid development of computer vision technology, its application in various fields has become more and more extensive. through the analysis of related research, it is found that computer vision can not only i...
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this paper introduces a groundbreaking classification model called the Controllable Ensemble Transformer and CNN (CETC) for the analysis of medical images. the CETC model combines the powerful capabilities of convolut...
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the world's most well-known cryptocurrency, Bitcoin, is much attractive to financial market players due to its recent price boom and fall. It is very difficult to anticipate because of the substantial volatility o...
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the optimization methods Adam, AdamMax, and AMSGrad were tested in this research using the mapping function that describes the doubling process and the Fourier spectra of the error function for a multilayer neural net...
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the timely graduation is one of the indicators of special interest for higher education institutions because it is constituted as a factor of its quality. Considering the importance of study time and the contribution ...
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the timely graduation is one of the indicators of special interest for higher education institutions because it is constituted as a factor of its quality. Considering the importance of study time and the contribution of new professionals to society, institutions are constantly applying or searching new strategies to achieve the goal. this is how withthis research, taking into account the incidence of the economic factor in students for the timely graduation in the university which is under study on this research, a Crowdfunding model was tested as a technological solution starting from a series of requirements for the development of the digital platform (web page) in which the model was being simulated, the model continued withthe use of coding, systems, necessary technologies for the creation and subsequent implementation and analysis of results, which emphasized a good participation of users and fundraising from different interest groups that ratify the relevance of the model and the possible positive impact.
the proceedings contain 91 papers. the topics discussed include: PASTA threat modeling for vehicular networks security;efficient feature extraction for image analysis through adaptive caching in vector databases;under...
ISBN:
(纸本)9798350385625
the proceedings contain 91 papers. the topics discussed include: PASTA threat modeling for vehicular networks security;efficient feature extraction for image analysis through adaptive caching in vector databases;understanding accelerated graph clustering via local grouping;voltage stability analysis of hybrid distributed generators for power distribution networks using continuous power flow algorithm;service satisfaction evaluation from gaits using local low-level and global co-occurrence features;dried water lily stem validation for weaving fiber production using K-nearest neighbors (K-NN) classification algorithm;comparative analysis of EmoRoBERTa and distilled zero-shot student model for emotion detection in texts;MICORD-IDS: a hybrid learning system for intrusion detection system for the Internet of Vehicles;AAANet: segmentation network with atrous axial attention spatial pyramid pooling;and assessing ChatGPT’s capability to generate course learning outcomes.
the anticipated expansion of TinyML-related technologies will require methods for efficient ML model development. In this paper, we present a method for obtaining a set of ML models for TinyML systems that satisfies t...
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A family of walks confined to the first orthant whose defining stepset has drift outside of the region can be challenging to sample uniformly at random for large lengths. We address this by generalizing the 2D walk sa...
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A family of walks confined to the first orthant whose defining stepset has drift outside of the region can be challenging to sample uniformly at random for large lengths. We address this by generalizing the 2D walk sampler of Lumbroso et al. to handle 3D walks restricted to the first orthant. the sampler includes a visualizer and means to animate the walks.
Digital workplace demands high levels of productivity, often at the cost of levels of employee well-being. the stress that builds up in professionals over time, if left unchecked, can harm mental health and reduce eff...
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