2 papers
cs.CL2024
A comparative analysis of embedding models for patent similarity
Grazia Sveva Ascione, Valerio Sterzi
This paper makes two contributions to the field of text-based patent similarity. First, it compares the performance of different kinds of patent-specific pretrained embedding model…
cs.IR2024
Presenting Terrorizer: an algorithm for consolidating company names in patent assignees
Grazia Sveva Ascione, Valerio Sterzi
The problem of disambiguation of company names poses a significant challenge in extracting useful information from patents. This issue biases research outcomes as it mostly underes…