Fig. 2From: MLM-based typographical error correction of unstructured medical texts for named entity recognition Research overflow. Two datasets, such as NCBI-disease and SPR, were used to extract important information from the unstructured data of a medical dataset. Two processes, such as spelling error correction and NER, were performed and verified to identify whether low-quality data with many typos affected the performance of information extraction Back to article page