Hey did my last message show up in spam again? :P On Tue, Apr 23, 2019 at 4:45 PM Linas Vepstas <[email protected]> wrote:
> Hi Ben, > > On Tue, Apr 23, 2019 at 5:09 AM Ben Goertzel <[email protected]> wrote: > >> *** >> Ah, well, hmm. It appears I had misunderstood. I did not realize that >> the input was 100% correct but unlaballed parses. In this case, >> obtaining 100% accuracy is NOT suprising, its actually just a proof >> that the code is reasonably bug-free. >> *** >> >> It's a proof that the algorithms embodied in this portion of the code >> are actually up to the task. Not just a proof that the code is >> relatively bug-free, except in a broad sense of "bug" as "algorithm >> that doesn't fulfill the intended goals" >> > > Recently, one week of my time was sucked into a black hole. I read all > six papers from the latest Event Horizon Telescope announcement. Five and a > half of these papers are devoted to describing the EHT, and proving that it > works correctly. The actual results are just one photo, and a few > paragraphs explaining the photo. And you got that in the mainstream-press. > > I'd like to see the same mind-set here: a lot more effort put into > characterizing exactly what it is that is being done, and proving that it > works as expected, where "expected==intuitive explanation of why it > works". So, yes, characterizing the stage that moves from unlabeled parses > to labeled parses is really important. If you want to sound like a > professional scientist, then write that up in detail, i.e. prove that your > experimental equipment works. That's what the EHT people did, we can do it > too. > > >> >> *** >> Such proofs are good to have, but its not theoretically interesting. >> *** >> >> I think it's theoretically somewhat interesting, because there are a >> lot of possible ways to do clustering and grammar rule learning, and >> now we know a specific combination of clustering algorithm and grammar >> rule learning algorithm that actually works (if the input dependency >> parses are good) >> > > Yes. Despite all the spread-sheets, PDF's and github issues that Anton > has aimed my way, I still do not understand what this "specific combination > of clustering algorithm and grammar rule learning algorithm" actually is. > I've got a vague impression, but not enough of one to be able to reproduce > that work. Which is funny, because as an insider, I wrote half the code > that is being used as ingredients. So I should be in a prime position to > understand what is being done ... but I don't. This still needs to be > fixed. It should be written up at EHT-level quality write-ups. > > >> >> Then the approach would be >> > > I don't want to comment on this part, because I've already commented on it > before. If there is an accuracy problem, its got nothing to do with the > accuracy of MST. The accuracy of MST should NOT affect final results! If > the accuracy of MST is impacting the final results, then some other part of > the pipeline is not working correctly! > > In a real radio-telescope, the very first transistor in the antenna > dominates the signal-to-noise ratio, and provides about 3dB of > amplification. 3DB is equal to one binary-bit! 10^0.3==2^1 == Two to the > power-one of entropy decrease. All the data processing happens after that > first transistor. > > MST is like that first transistor. Its gonna be shitty. If the downstream > stages - the disjunct processing aren't working right, then you get no > worthwhile results. Focus on the downstream, characterize the operation > of the downstream. Quit obsessing on MST, its a waste of time. > > --linas > > -- > cassette tapes - analog TV - film cameras - you > > -- > You received this message because you are subscribed to the Google Groups > "opencog" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at https://groups.google.com/group/opencog. > To view this discussion on the web visit > https://groups.google.com/d/msgid/opencog/CAHrUA34BzxwmJMeMLT%2Byd_ih14RE6Y3S86XMPKEtCTG7URQKmA%40mail.gmail.com > <https://groups.google.com/d/msgid/opencog/CAHrUA34BzxwmJMeMLT%2Byd_ih14RE6Y3S86XMPKEtCTG7URQKmA%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/CAJ1sQKXBNVYkGKkgA31S1N-2z2cPn18kZb-a%3D0V3aK1bD%2BR_ig%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
