Hello,My idea is to give, streams of text ( i don't know what it is about) -- > NLP pipeline --> stimulate atoms --> retrieve the atoms with high STI and its related atoms and check whether any useful/important info is obtained. Regarding this, i would like to clarify and conform few things.@Misgana:
- Can i stimulate atoms every time they have been parsed by the NLP pipeline ? Something like this exists before?. I just tried (nlp-parse "The sky is beautiful") then (cog-stimulate). But i did not know the exact syntax for stimulating. Is this the way it works? What if, when i load a scheme file with atoms in AS and want to stimulate? How to ensure that the atoms with high STI are remembered/forgotten?.
- Feeding the atoms in AS should be in the form of relex or relex2logic for boosting?
- It is not possible to store atoms with high attention values in DB. There is no code for doing this at this time?. I can also never delete atoms once that are put into DB.?
- I need to write a code, so that i can retrieve top ranking atoms with high STI?
@Linas:I can give only the sentences which are grammatically correct into NLP Pipeline?. So when i give incomplete sentences say human chats like this "MadMonkey's Jim Cramer next Weeeeeeeek investment htt brtt", it will be parsed with low confidence value. Apart from this, will it have impact on providing boost to atoms?Thanks and regards,Vishnu
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Thanks Misgana for the info. I followed the steps as below. But cof-af is () empty. What am i missing here?
opencog> loadmodule /opt/opencog/build/opencog/attention/libattention.sodoneopencog> start-ecanStarted the following agents:opencog::AFImportanceDiffusionAgentopencog::WAImportanceDiffusionAgentopencog::AFRentCollectionAgentopencog::WARentCollectionAgentopencog> scmEntering scheme shell; use ^D or a single . on a line by itself to exit.guile> (nlp-start-stimulation 30)guile> (use-modules (opencog) (opencog nlp) (opencog nlp chatbot) (opencog nlp relex2logic))guile> (nlp-parse "the sky is beautiful")((SentenceNode "sentence@b8400d67-12b2-46e5-826b-dc54bdad9ed1"))guile> (nlp-parse "the sky is blue")((SentenceNode "sentence@cbbd5372-5a43-4b81-a823-c490722ef81d"))guile> (nlp-parse "The clouds are in sky")((SentenceNode "sentence@00bc0122-85b5-4d01-becc-6abf0d92b6f9"))guile> (cog-af)()-Vishnu
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My idea is to give, streams of text ( i don't know what it is about) -- > NLP pipeline --> stimulate atoms --> retrieve the atoms with high STI and its related atoms and check whether any useful/important info is obtained. Regarding this, i would like to clarify and conform few things.
- It is not possible to store atoms with high attention values in DB. There is no code for doing this at this time?.
- I can also never delete atoms once that are put into DB.?
I can give only the sentences which are grammatically correct into NLP Pipeline?.
So when i give incomplete sentences say human chats like this "MadMonkey's Jim Cramer next Weeeeeeeek investment htt brtt", it will be parsed with low confidence value.
Apart from this, will it have impact on providing boost to atoms?
Thanks,Vishnu
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