Recent submissions

Comment · 3 months ago
Comment · 1 year ago
Sounds similar to https://cloud.google.com/generative-ai-app-builder/docs/chec....

"The check grounding API returns an overall support score of 0 to 1, which indicates how much the answer candidate agrees with the given facts. The response also includes citations to the facts supporting each claim in the answer candidate.

Perfect grounding requires that every claim in the answer candidate must be supported by one or more of the given facts. In other words, the claim is wholly entailed by the facts. If the claim is only partially entailed, it is not considered grounded."

There's an example input and grounded output scores that shows how the model splits into claims, decides if the claim needs grounding, and the resulting entailment score for that claim in: https://cloud.google.com/generative-ai-app-builder/docs/chec...

Comment · 7 years ago
We (I run Google Patents), generated them using Wsabie (https://research.google.com/pubs/archive/37180.pdf) trained on the set of words of the full text -> Cooperative Patent Classification codes. So summed word embeddings trained for a classification task, which works well on similarity too.
Comment · 7 years ago
Comment · 9 years ago
Comment · 9 years ago
I run Google Patents (patents.google.com) - we've thought about including a way to search by expired patents (we have the expiration indicators), but in my opinion it gives a false sense of security. There's also http://freeip.mtu.edu/home/index.php, which searches over only expired patents.

The patent in question could have been improved upon, and that improvement can still be in force. Say someone patents a widget A + B, and later files a continuation A + B + C (https://en.wikipedia.org/wiki/Continuing_patent_application). The first patent could be expired, but while building your copy of A + B you might come to the same conclusion that the invention also needs to include C (which is still in force) to actually work.

Google Patents focuses on improving patent quality. There's still uncertainty if a granted patent is actually valid. If we can improve the prior art finding process for inventors and examiners, then fewer overly-broad patents will be granted, and it will be easier to tell if an invention actually infringes a patent.

Then we can start to think about making patent information more useful for part of the original purpose - as a transfer of knowledge to the public domain in exchange for a temporary exclusive right.

Comment · 11 years ago
Comment · 12 years ago
Comment · 13 years ago
I've been working on a tool (https://then.io) that solves all of these problems with the same effort that a todo list requires. Your tasks are scheduled between your calendar events and within the spans of time you set for them to be executed. They are ordered so that all of your due dates are met, with padding for mistakes.

Paradox of choice, lack of context, lack of commitment devices, and heterogeneous complexity are all solved by the nature of then.io. I would argue that priority doesn't matter, only due dates do. If you have too many tasks to finish before a due date, then you need to make the decision of which due date to push back.

Comment · 13 years ago

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