Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Despite the high performance of the existing embedding approaches for Aspect-Based Sentiment Analysis (ABSA), such as Word2Vec and GloVe, they still have several limitations, mainly in ...
There are always high expectations put on incoming NFL rookies to help change the franchise and fill holes. From the 2025 season's group, players like Emeka Egbuka, Carson Schwesinger and Tetairoa ...
Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
Making efficient and stable metal halide perovskites typically involves challenging trade-offs between structural integrity and performance. Now, a series of two-dimensional perovskites featuring ...
Organizations dealing with regulatory compliance and contract management face challenges: ...
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