FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERT

Machine based text comprehension has always been a significant research field in natural language processing. Once a full understanding of the text context and semantics is achieved, a deep learning model can be trained to solve a large subset of tasks, e.g. text summarization, classification and question answering... (read more)

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