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by throwawaykf
4709 days ago
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Agreed. It is an unfair match. It is, statistically, almost a tautology: The set of examiners is necessarily limited by government funding constraints, but the number of patent attorneys and agents they contend with on a daily basis is only limited by the market, which is huge. The examiners will eventually be overwhelmed. I think this is one reason that most examiners (at least IME) have their default mindset to "Reject! Reject! Reject!" Also, this is why something like Ask Patents is invaluable to even the odds. I don't agree with the quantitative approach, but I can't help think that technology can help. Google has already (in my opinion) helped the PTO greatly narrow claims the past decade; similar technology can help even more. I have some background in NLP. And I know it's surprisingly effective when it comes to domains with specific jargon (cf. Watson and medical language). I've lurked long enough to know some here (such as VanL) have already experimented in this area. Personally, I have toyed with the idea of constructing parse trees out of multiple technical texts and claims, "normalizing" them using ontologies, and trying to find matches (i.e. prior art) using various tree-matching algorithms. I have a feeling it would be very effective. (Maybe Google already does this!) But that does not address the problem of identifying patents that are quantitatively invalid but qualitatively valuable. To me, that is the more important long-term problem. |
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