2022
DOI: 10.31673/2412-4338.2022.048489
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Review of Vector Embeddings Fusion Methods

Abstract: This paper presents a comprehensive review of the state-of-the-art techniques for embeddings fusion in natural language processing and machine learning. Embeddings fusion refers to the task of combining multiple word or document embeddings into a single representation that can capture the different aspects of the input data. This is typically used in multimodal machine learning applications where inputs come from different sources with different formats or in situations when embeddings are already available an… Show more

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