Comments (9)
Please refer to this for a detailed description of Propbank SRL labels.
https://verbs.colorado.edu/~mpalmer/projects/ace/PBguidelines.pdf
SENNA uses Propbank labeling, other popular choice is FrameNet.
from practnlptools.
We're using it successfully for one of out projects. I've been able to
gather a good bit of that information from a different source but it might
be useful....let me know if you still need it.
On Mon, Feb 22, 2016 at 3:36 PM, aleissaf [email protected] wrote:
Dear,
I have been using the tool for semantic role labelling, but I haven't been
able to understand the result of the semantic role labelling. Can someone
please guide me.
Text:
RT @WBBMNewsradio: Gov. Rauner Sends National Guard To Southern Illinois
In Response To Flooding - Full Story:
Result
[{'A1': 'National Guard', 'A0': 'Gov. Rauner', 'A2': 'To Southern
Illinois', 'AM-PNC': 'In Response To Flooding - Full Story', 'V': 'Sends'}]Thanks,
—
Reply to this email directly or view it on GitHub
#2.
#########################################################
Matthew R. Versaggi,
Artificial Intelligence Engineer, Imagine One, LTD
President & CEO: Versaggi Information Systems, Inc.
Adjunct Professor of eBusiness DePaul University
Email: mailto:[email protected], [email protected]
M: 630-292-8422
LinkedIn: http://www.linkedin.com/in/versaggi
About Me: http://www.matt-versaggi.com/resume/
#########################################################
from practnlptools.
Dear,
As there any way that I can extract only the events from the semantic role labelling?
Thanks,
from practnlptools.
Yes, we've done specifically that in our project. I have extensive notes on
exactly how that is done. We used SRL and PyKE (inference engine) to
accomplish that. It's a fusion of technologies but it works.
If you like I can forward what I have to you in order to walk you through
it ...
On Fri, Feb 26, 2016 at 5:58 PM, aleissaf [email protected] wrote:
Dear,
As there any way that I can extract only the events from the semantic role
labelling?Thanks,
—
Reply to this email directly or view it on GitHub
#2 (comment)
.
#########################################################
Matthew R. Versaggi,
Artificial Intelligence Engineer, Imagine One, LTD
President & CEO: Versaggi Information Systems, Inc.
Adjunct Professor of eBusiness DePaul University
Email: mailto:[email protected], [email protected]
M: 630-292-8422
LinkedIn: http://www.linkedin.com/in/versaggi
About Me: http://www.matt-versaggi.com/resume/
#########################################################
from practnlptools.
Dear Versaggi,
I would really appreciate it if you can share anything that guides me through the process.
Thank you very much
from practnlptools.
I'd be glad to, give me an idea of what it is you are doing and the context
and I'll see if I can cater it better to what you are doing....
On Sun, Feb 28, 2016 at 3:13 PM, aleissaf [email protected] wrote:
Dear Versaggi,
I would really appreciate it if you can share anything that guides me
through the process.Thank you very much
—
Reply to this email directly or view it on GitHub
#2 (comment)
.
#########################################################
Matthew R. Versaggi,
Artificial Intelligence Engineer, Imagine One, LTD
President & CEO: Versaggi Information Systems, Inc.
Adjunct Professor of eBusiness DePaul University
Email: mailto:[email protected], [email protected]
M: 630-292-8422
LinkedIn: http://www.linkedin.com/in/versaggi
About Me: http://www.matt-versaggi.com/resume/
#########################################################
from practnlptools.
Basically, i'm trying to read and analyze twitter news feed. I want to identify from the results only the events after removing the stop words.
from practnlptools.
Hi Aleissaf,
I used a different approach. I leveraged an Inference engine to pattern
match only those patterns which would typically correspond to an event.
That worked well for me ...
I've included a process flow diagram which shows how I did it, and can give
you code snippets of that'll help.
In our case we had different requirements, we were picking out only
specific events in a news feed so we only wanted those events whose verb
corresponded to a DB of (selected) verbs which we seeded (and would be
indicative of the kinds of events we were tracking.
In most cases that worked really well for us to capture the universe of
events and then allow us to whittle them down to just what we wanted.
Let me know if this helps and if you need some code to peruse.
-matt
On Mon, Feb 29, 2016 at 7:50 AM, aleissaf [email protected] wrote:
Basically, i'm trying to read and analyze twitter news feed. I want to
identify from the results only the events after removing the stop words.—
Reply to this email directly or view it on GitHub
#2 (comment)
.
#########################################################
Matthew R. Versaggi,
Artificial Intelligence Engineer, Imagine One, LTD
President & CEO: Versaggi Information Systems, Inc.
Adjunct Professor of eBusiness DePaul University
Email: mailto:[email protected], [email protected]
M: 630-292-8422
LinkedIn: http://www.linkedin.com/in/versaggi
About Me: http://www.matt-versaggi.com/resume/
#########################################################
from practnlptools.
I don't think that the process flow diagram came through via the email response, so I added it here...
from practnlptools.
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