Be the first to like this
Unstructured and Structured KBs
Workshop at AKBC 2020
June 25, 2020
Several approaches have been proposed to represent world knowledge. It can be unstructured in text corpora, organised in structured collections (e.g, KBs, key-value memories), or self-structured in the parameters of a neural model. However, it is still unclear how to compare these different solutions. Most of the existing NLP benchmarks focus on tasks that humans can solve by just examining local information. In this talk I will review some knowledge-intensive tasks, that require to seek knowledge in a large body of documents even for humans in order to be solved. I will present some of the latest models proposed to solve those and which representation they use for knowledge. Moreover, I will present some ideas to investigate models' explainability in this setting.