Techniques to Improve Q&A Accuracy with Transformer-based models on Large Complex Documents

This paper discusses the effectiveness of various text processing techniques, their combinations, and encodings to achieve a reduction of complexity and size in a given text corpus. The simplified text corpus is sent to BERT (or similar transformer based models) for question and answering and can produce more relevant responses to user queries... (read more)

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