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Knowledge will propel machine understanding of content: extrapolating from current examples.

, , , and . WI, page 1-9. ACM, (2017)

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Implicit Entity Recognition in Clinical Documents., , , , , , and . *SEM@NAACL-HLT, page 228-238. The *SEM 2015 Organizing Committee, (2015)Implicit Entity Linking in Tweets., , , , and . ESWC, volume 9678 of Lecture Notes in Computer Science, page 118-132. Springer, (2016)Optimizing Hierarchical Classification with Adaptive Node Collapses., , , , and . AAAI Workshops, volume WS-18 of AAAI Technical Report, page 372-375. AAAI Press, (2018)DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction., , , , , , , , , and 1 other author(s). WWW (Companion Volume), page 110-115. ACM, (2022)Semantics Driven Approach for Knowledge Acquisition from EMRs, , , , and . IEEE journal of biomedical and health informatics, (2013)Knowledge-Driven Approach to Predict Personality Traits by Leveraging Social Media Data., , and . WI, page 288-295. IEEE Computer Society, (2016)Domain-specific hierarchical subgraph extraction: A recommendation use case., , , and . IEEE BigData, page 666-675. IEEE Computer Society, (2017)Implicit Information Extraction from Clinical Notes., and . ICHI, page 498. IEEE Computer Society, (2015)Data driven knowledge acquisition method for domain knowledge enrichment in the healthcare., , , , and . BIBM, page 1-8. IEEE Computer Society, (2012)Knowledge will propel machine understanding of content: extrapolating from current examples., , , and . WI, page 1-9. ACM, (2017)