Very cool stuff !! So there are two things I'm thinking Ruiting can do in this regard, in the near term...
1) run this on a larger corpus and see what happens 2) try various clustering approaches on the "feature structures" for words implicit in the parse-trees you've gotten from this first phase For this we would need the following... For 1), we'd need some good instructions on how to replicate the experiments you've just run (potentially on an additional text corpus) For 2), we'd need an Atomspace (Scheme file, postgres dump, whatever) containing the first-pass parses you've obtained for the sentences in your test corpus Can you share these w/ Ruiting sometime soon? thanks! On Thu, May 11, 2017 at 6:34 AM, Linas Vepstas <[email protected]> wrote: > Attached PDF reports on a small, early snapshot of what the database looks > like. Basically, it looks promising. I'm moving on to the next step, which > is to reparse with the clusters. There's various parts of the theory I don't > understand, as well as a lot of code to write, to build a pipeline from the > atomspace back into the link-grammar parser. > > --linas -- Ben Goertzel, PhD http://goertzel.org "I am God! I am nothing, I'm play, I am freedom, I am life. I am the boundary, I am the peak." -- Alexander Scriabin -- 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/CACYTDBd4Ukk9bx2KCM3j1qeKufM_DiR84NKV%2BxDOe5eF6qhZkQ%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
