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Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge
Our end-to-end system built in such a manner improves on the accuracy of two of the available language model based approaches by 5. 53{\%} and 7. 7{\%} respectively.
Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes
To help automate the process, National NLP Clinical Challenges (N2C2) conducted a shared challenge by defining 13 criteria for clinical trial cohort selection and by providing training and test datasets.
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