A Survey on Sentence Embedding Models Performance for Patent Analysis. (arXiv:2206.02690v2 [cs.CL] UPDATED)

Patent data is an important source of knowledge for innovation research.
While the technological similarity between pairs of patents is a key enabling
indicator for patent analysis. Recently researchers have been using patent
vector space models based on different NLP embeddings models to calculate
technological similarity between pairs of patents to help better understand
innovations, patent landscaping, technology mapping, and patent quality
evaluation. To the best of our knowledge, there is not a comprehensive survey
that builds a big picture …

analysis arxiv embedding patent performance survey