As intelligent terminal devices become more and more common in daily life, the amount of work involved in computer work is increasing. Excessive task migrations can create significant resource stress on edge servers a...
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Tamil language processing in NLP has yet to be outstanding, mainly because of the absence of high-quality resources. In this project, a novel approach to address these limitations is to build an encoder-decoder transf...
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The internet’s evolution has highlighted cloud computing’s limitations, such as latency and bandwidth issues, prompting interest in edge computing to address these. Effective load balancing is essential to fully lev...
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A Brain-computer interfaces (BCIs) can translate bioelectric signals in the human brain into instructions for decision-making or controlling the environment around them. As such, BCIs can be applied to assist in the m...
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According to the grading standards for middle school examinations, thought content and structural coherence are critical indicators of essay quality. Evaluating an essay's coherence requires not only analyzing the...
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ISBN:
(纸本)9789819794423;9789819794430
According to the grading standards for middle school examinations, thought content and structural coherence are critical indicators of essay quality. Evaluating an essay's coherence requires not only analyzing the semantic connections between sentences but also understanding the logical relationships between sentences and the overall structural layout of the essay. This understanding is essential for grasping the logical framework of long texts and generating complex documents. This paper presents our approach used in the NLPCC 2024 competition for evaluating essay sentence logic and generating feedback. For different tasks, we applied both traditional classification models and advanced large language models, leveraging pseudo-labels generated through semi-supervised learning and information provided by large models as auxiliary data, significantly enhancing overall model performance. Experimental results demonstrate that our method achieves state-of-the-art results.
In the field of underwater wireless optical communication, optical transmitters and optical receivers need to track and align in real time, which poses challenges to the real-time and accuracy of the measurement metho...
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In recent years, automotive radars with enhanced cognitive abilities have been used on streets for advanced driver assistance systems to improve driving conditions. Consequently, an ego radar encounters increased auto...
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Ensuring the accuracy of health claims in media is vital for public well-being, and evidence-based claim verification is critical in achieving this goal. However, identifying relevant biomedical literature as evidence...
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ISBN:
(纸本)9789819794393;9789819794409
Ensuring the accuracy of health claims in media is vital for public well-being, and evidence-based claim verification is critical in achieving this goal. However, identifying relevant biomedical literature as evidence for health claims is particularly challenging, especially within cross-genre and cross-lingual contexts. We propose an ad hoc information retrieval (IR) task to identify support for Chinese health claims obtained from Chinese news sources. We demonstrate the feasibility of such a task by presenting experiments on a novel dataset of pairs of Chinese health claims and English biomedical literature. We describe a two-step methodology comprising (i) a selection of the most relevant candidates from 764K research papers, and (ii) a final re-ranking of this selection. Our comprehensive experimental research demonstrates that incorporating domain-specific information significantly enhances retrieval accuracy and claim verification efficacy. This strategy is a major step toward improving the credibility of public health information dissemination and reducing the prevalence of falsehoods in health journalism.
Data processing and publication are crucial today with the advancements in technologies such as edge computing and IoT(Internet of Things). A vast volume of data is being generated by internet-connected devices, often...
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In recent years, numerous studies have sought to understand the cognitive dynamics underlying language processing by modeling reading times and ERP amplitudes using computational metrics like surprisal. In the present...
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