A novel approach to measuring the scope of patent claims based on probabilities obtained from (large) language models

arXiv:2309.10003v4 Announce Type: replace-cross
Abstract: This work proposes to measure the scope of a patent claim as the reciprocal of self-information contained in this claim. Self-information is calculated based on a probability of occurrence of the claim, where this probability is obtained from a language model. Grounded in information theory, this approach is based on the assumption that an unlikely concept is more informative than a usual concept, insofar as it is more surprising. In turn, the more surprising the …

abstract arxiv claim cs.cl cs.it cs.lg information language language models math.it math.pr measuring novel patent probability type work