Hi

I created the issue

I also add another example which I was trying today without the use of
relex server ... and it doesn’t work too. Find the issue #2477
<https://github.com/opencog/opencog/issues/2477> from the OpenCog Github
repository. Thanks.

On Mon, Nov 14, 2016 at 2:04 PM, Nil Geisweiller <[email protected]>
wrote:

> Hi,
>
> the last time I reviewed the pattern miner I found that it was not ready
> for general use, and estimated it would take me about 2 weeks to put it in
> shape. I had started this branch for that https://github.com/ngeiswei/op
> encog/commits/hack-pattern-miner
>
> Anyway, I'll have a look at it within the next couple days, who knows, it
> might not be much.
>
> Hedra, could you create an issue on the opencog repo (basically re-pasting
> your report and attaching your files there)? If you can reduce the KB and
> dialogue size it's even better, maybe it could serve as a unit test.
>
> Thanks,
> Nil
>
>
> On 11/14/2016 12:17 PM, Ben Goertzel wrote:
>
>> Thanks Hedra!
>>
>> Nil -- I hate to distract you from the BC, but could you please take a
>> look at this sometime soon?  It seems Shu Jing is too busy to help
>> out, and I know you have played a bit with the Pattern Miner a few
>> months ago...
>>
>> thx
>> ben
>>
>> On Mon, Nov 14, 2016 at 7:27 AM, Hedra Seid <[email protected]> wrote:
>>
>>> Hi Ben, Sorry for my late reply ...
>>>
>>> Here attached are the scheme files I used to apply the OpenCog pattern
>>> miner
>>>
>>> STEPS I followed
>>>
>>> 1. Start opencog server with the config file  -c
>>> ../lib/opencog_patternminer.conf and relex server
>>>
>>> 2. Telnet to opencog server on port 17001
>>>
>>> 3. Access the scheme shell
>>>
>>> 4. (use-modules (opencog) (opencog nlp) (opencog nlp chatbot) (opencog
>>> nlp
>>> relex2logic))
>>>
>>> I import those modules to use (nlp-parse) and let relex parse the
>>> sentences
>>> in the dialogue but it creates a VariableNode instance which the Pattern
>>> miner considers as an error node type to have. To fix this I have to make
>>> the atomspace free.
>>>
>>> 5. (clear)
>>>
>>> 6. (load-scm-from-file "test-dialogue.scm")
>>>      (load-scm-from-file "back-ground.scm")
>>>
>>> here the atomspace contains 9900 atoms
>>>
>>> 7. Exit the scheme shell and load the test pettern miner agent module
>>>
>>>     loadmodule
>>> /home/tanksha/opencog_ws/opencog/build/opencog/learning/
>>> PatternMiner/libTestPatternMinerAgent.so
>>>
>>> 8. From the opencog server I got this
>>> Listening on port 17001
>>> Debug: PatternMining start! Max gram = 4, mode = Depth_First
>>> Start thread 0 from 0 to 7467
>>> 0% completed in Thread 0.
>>>
>>> It stays like this for a long time ... the percent doesn’t increase.
>>>
>>>
>>>
>>>
>>> On Fri, Nov 11, 2016 at 2:56 PM, Ben Goertzel <[email protected]> wrote:
>>>
>>>>
>>>> Hedra,
>>>>
>>>> I suggest you should upload to some repository the actual data that
>>>> you loaded into the Pattern Miner, and the exact script that you ran
>>>> to launch the pattern miner
>>>>
>>>> That way Nil or Shujing can follow the exact steps that you did, and
>>>> see exactly how the bug was encountered.
>>>>
>>>> Without a clear way to replicate the bug, it may be hard for them to
>>>> debug
>>>> it
>>>>
>>>> I would like them to be able to exactly replicate what you did on
>>>> their machines...
>>>>
>>>> thanks
>>>> ben
>>>>
>>>> On Wed, Nov 9, 2016 at 9:36 AM, Hedra Seid <[email protected]> wrote:
>>>>
>>>>> Okay, Ben
>>>>>
>>>>> I checked the pattern miner with the provided example corpus file and
>>>>> it
>>>>> works fine. But the problem is it sometimes stop mining with unknown
>>>>> reason
>>>>> for me.
>>>>>
>>>>> Here is what I tried
>>>>>
>>>>> we are working on applying OpenCog pattern miner as a dialogue
>>>>> assistance to
>>>>> help the customer service in providing answers mining what has been
>>>>> said
>>>>> before (or mining from the knowledge base atomspace).
>>>>>
>>>>> - We have dialogues parsed and loaded to the atomspace, and loading the
>>>>> opencog pattern miner module, the cogserver results the  following
>>>>>
>>>>> Error: instance link contains variables:
>>>>> (VariableNode "$wF0EfmscF9F25N7BAoBtBNmDChd5Ep0Cd9q0") ;
>>>>> [111651][111516]
>>>>>
>>>>> - We write the Atomese representation of each dialogues (like the aiml
>>>>> to
>>>>> atomese representations) and load to the atomspace and start the
>>>>> opencog
>>>>> mining
>>>>>
>>>>> here the pattern miner works and generates output files, but only the
>>>>> 2gram
>>>>> results are extracted.
>>>>>
>>>>> - adding some knowledge tried the same data but the pattern miner
>>>>> stoped
>>>>> mining reaching 40% ... calculating the surprisingness
>>>>>
>>>>> On Wed, Nov 9, 2016 at 11:57 AM, Ben Goertzel <[email protected]>
>>>>> wrote:
>>>>>
>>>>>>
>>>>>> Shujing, perhaps you can help with this?
>>>>>>
>>>>>> Hedra, it would be good if you could give precise instructions for
>>>>>> replicating the problem.... that will make it easier for Shujing or
>>>>>> Nil
>>>>>> to
>>>>>> help...
>>>>>>
>>>>>> Thanks
>>>>>> Ben
>>>>>>
>>>>>> On Nov 9, 2016 08:07, "Hedra Seid" <[email protected]> wrote:
>>>>>>
>>>>>>>
>>>>>>> Hello
>>>>>>>
>>>>>>> I have been working with OpenCog pattern miner and it sometimes stack
>>>>>>> and
>>>>>>> stop mining at some point ... Have waited for Pattern miner result
>>>>>>> more than
>>>>>>> half an hour where the atomspace contains only 55 atoms and it stops
>>>>>>> at 40%.
>>>>>>> Any solutions?
>>>>>>>
>>>>>>> --
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>>>>>>> send
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>>>>>>> email to [email protected].
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>>>>>>> To view this discussion on the web visit
>>>>>>>
>>>>>>> https://groups.google.com/d/msgid/opencog/4ef5fae7-dd3f-410a
>>>>>>> -ae26-c9c4e8ee4f50%40googlegroups.com.
>>>>>>> For more options, visit https://groups.google.com/d/optout.
>>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> With Regards!
>>>>>
>>>>> Hedra Seid
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> Ben Goertzel, PhD
>>>> http://goertzel.org
>>>>
>>>> “I tell my students, when you go to these meetings, see what direction
>>>> everyone is headed, so you can go in the opposite direction. Don’t
>>>> polish the brass on the bandwagon.” – V. S. Ramachandran
>>>>
>>>
>>>
>>>
>>>
>>> --
>>> With Regards!
>>>
>>> Hedra Seid
>>>
>>>
>>
>>
>>


-- 
*With Regards!*

*Hedra Seid*

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