[mlpack] Text summarization models in mlpack

[Namrata Mukhija]

Hi Marcus,

I was more inclined towards implementing this myself with of course,
mentorship from the mlpack community. I was thinking of starting this
month, if the community thinks this is a good idea and if we decide on the
outcomes we are looking at the completion of this project.

I understand that a student working full-time on this would give us more
output in a shorter time frame, and would still love to mentor this project
if you would still like to go ahead with putting it up as a GSOC project
instead. [Maybe I can then take up implementing smaller parts of it before
GSOC begins like the attention model etc].

Let me know what you think.

Thanks,
Namrata

On Sun, Feb 17, 2019 at 7:57 PM Marcus Edel <marcus.edel at fu-berlin.de>
wrote:

> Hello Namrata,
>
> at least there is no ready to use model; I agree this would be an
> interesting
> project and could fit into the current nn architecture. This is just an
> idea,
> perhaps we could offer this as a GSoC project anyway if we can find
> someone from
> the mlpack community so that you two could mentor the project. Let me know
> what
> you think.
>
> Thanks,
> Marcus
>
> On 17. Feb 2019, at 11:41, Namrata Mukhija <namratamukhija at gmail.com>
> wrote:
>
> Hi,
>
> Are there any existing implementation of text summarization models in
> mlpack currently? If not, I'm really interested in implementing the pointer
> generator model <https://arxiv.org/pdf/1704.04368.pdf> for abstractive
> text summarization since I have implemented parts of it in another
> framework. This isn't a GSOC idea since I'm currently working and not a
> student. I was hoping to take it up if the mentors at mlpack have some time
> before GSOC begins in May. I have contributed to mlpack an year ago and
> would love to continue again now.
>
> Thanks,
> Namrata
> --
> Namrata Mukhija
> Software Engineer, Microsoft (India Development Centre)
> 2018 NSIT graduate
>
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>
>

-- 
Namrata Mukhija
Software Engineer, Microsoft (India Development Centre)
2018 NSIT graduate
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