Hello all, I have a knowledge base, in which each sentence is implicitly associated with an ID which is of the type long int. As far as i know, we can parse only the straight sentences through NLP pipeline. But i want to process the sentences along with their Ids. is it possible to do so?
Oranges are sweet - Input 787899993322 - ID Oranges are sweet has 787899993322 / Oranges are sweet belongs to 787899993322 How about passing above such sentences through NLP ? Is there any other way around? Whatever i do (Forward/backward Chaining, stimulating etc...), i should be to able to know which atoms are of which ID. How can i adapt opencog ? Should i write some code on top of it? or is it totally un-doable? Thanks, Vishnu -- 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/bf8cefea-d9a2-4255-bb48-34d0a7191b71%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
