Text-mining / Machine learning working group

[Ali Haider Bangash]

Who's up for a text mining or machine learning working-group?

Catch me up at hhai...@gmail.com

[Pjotr Prins]

On Tue, Mar 31, 2020 at 02:08:49PM -0700, Ali Haider Bangash wrote:
> Who's up for a text mining or machine learning working-group?
> Catch me up at hhai...@gmail.com

Dear Ali,

Is there a coordinator? If not, why don't you become one and update
the wiki accordingly. People will sign up. If you want to swap roles
down the line it is not a problem. Main thing is to start up :)

Pj.

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[Ali Haider Bangash]

Sure, why not? This shall be fun!

[LJ.Garcia]

Hi,

there are two groups working on knowledge graphs, they might be including some text-mining data, maybe worth to have a look.

Regards,

On Tue, Mar 31, 2020 at 11:21 PM Ali Haider Bangash <hhai...@gmail.com> wrote:

Sure, why not? This shall be fun!

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[Kevin B. Cohen]

I would love to participate, but I can’t sign up for the hackathon via the web site. 

I have a GitHub repository with code for working on the CORD-19 coronavirus corpus. 

Kev

Envoyé de mon iPhone

Le 31 mars 2020 à 14:08, Ali Haider Bangash <hhai...@gmail.com> a écrit :



Who's up for a text mining or machine learning working-group?

Catch me up at hhai...@gmail.com

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[LJ.Garcia]

Hi Kevin,

To join the BioHackathon you should join the mailing list (which you did already :-) and joining the slack (https://virtualbiohac-xt62674.slack.com/join/shared_invite/zt-cuur40oj-wdrVz50NocwVrH7vgKTdPg).

You can join a group by adding your name to the list of participants. Groups/topics are on the wiki https://github.com/virtual-biohackathons/covid-19-bh20/wiki Anyone should have permissions to join. If you have troubles there, please let us know.

Regards,

To view this discussion on the web, visit https://groups.google.com/d/msgid/virtual-biohackathon/EA611B24-D56A-476A-98E9-DE9F27DD9C0E%40gmail.com.

[Andrew Ponomarev]

Hello everyone, I think this resource can be a good source for knowledge mining:

https://pages.semanticscholar.org/coronavirus-research

In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 45,000 scholarly articles, including over 33,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community.

Thanks,

Andrew

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