Abstract: Entity resolution is an important task in data integration and data cleaning. This study explores how graph-based techniques can address the challenges of data availability and label quality ...
Preliminary annual revisions could add to political pressure on the agency that produces the data. Preliminary annual revisions by the Bureau of Labor Statistics show that 911,000 fewer jobs were ...
The Public Health Framework for Collaborative Arthritis Management and Wellbeing (“the Framework”) is being piloted as a model to improve health and wellbeing of people with arthritis. This model is ...
The active learning approach yielded even greater improvement, corresponding to a balanced accuracy increase of up to 30% and 60% for the 2 datasets, respectively. Conclusions: The proposed framework ...
In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...
ChatGPT desktop app and Responses API will soon support MCP Altman said eventually, the entire OpenAI product lineup will support MCP Anthropic open-sourced MCP in November 2024 ...
The study of autonomous agents powered by large language models (LLMs) has shown great promise in enhancing human productivity. These agents are designed to assist in various tasks such as coding, ...
Abstract: Document-level entity relation extraction is an important task in the field of natural language processing, which plays an important role in semantic understanding and knowledge graph ...
Speech recognition technology has made significant progress, with advancements in AI improving accessibility and accuracy. However, it still faces challenges, particularly in understanding spoken ...
Federal agencies may need to rethink how they handle individuals’ personal data to protect their civil rights and civil liberties, a congressional watchdog said in a new report Tuesday. Without ...
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