An Innovative Approach to Scalable Semantic Embedding
Semantic search, in addition to keyword based search, is a desirable feature for many digital library systems. Even in the largely structured library data world, there is still a lot of tacit information locked in the free-text fields. Embedding words and texts in compact, semantically meaningful vector spaces allows for computable semantic similarity/relatedness which would make search more intelligent.
Presented:
13 May 2019
Presented at:
AIDR 2019: Artificial Intelligence for Data Discovery and Reuse
Location:
Pittsburgh, Pennsylvania, USA
Presentation Topics:
- Semantic Embedding