Temporal Relation Extraction From Electronic Medical Records with Chen Lin

From Chen Lin, Data Scientist at Fidelity Investments:

As temporal relation extraction has been a hot topic in Natural Language Processing, Chen will share his nine-year research journey in temporal relation extraction in the clinical domain. The challenges, importance, and use cases of clinical temporality will be introduced in the talk, together with the evolution of the methods ranging from conventional Support Vector Machine, Tree-Kernels, to nowadays deep learning methods. Several Transformer-based models will be highlighted in the talk. Hope it could be of a little inspiration to you.