09 Jul 2019

In our lab meeting this week, Zhenqi will talk about some recent works on fine-grained entity recognition. The title and abstract of his talk:

Comparison among recent works on fine-grained entity recognition

Abstract: Fine-grained entity type classification (FETC) is the task of classifying an entity mention to a broad set of types. We will compare five papers in this area from the perspectives of feature extraction, model structure, loss function, hierarchical prediction and inference.

Tuesday, July 9th, 12:00 p.m. TASC1 9408.