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| Albretch Mueller... |
Posted: Thu Jun 19, 2008 8:03 pm |
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I was wondering about the techniques and software that are used to achieve
this
Can you just get some plain text and feed it into some engine/parser and it
will give you as output (at least a good approximation of actual and
possible) questions in the text and if they are found in the text, their
corresponding answers?
Or, do you need to first parse/tag the whole text and go from there?
Thanks
lbrtchx |
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| Cameron Hughes... |
Posted: Thu Jun 19, 2008 8:09 pm |
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Albretch Mueller wrote:
Quote: I was wondering about the techniques and software that are used to achieve
this
Can you just get some plain text and feed it into some engine/parser and it
will give you as output (at least a good approximation of actual and
possible) questions in the text and if they are found in the text, their
corresponding answers?
Or, do you need to first parse/tag the whole text and go from there?
Thanks
lbrtchx
Without some sort of tagging of the original text, you're talking about
something that is non trivial.
While the '?' might or might not identify the questions in the text, knowing
where an answer starts
or stops (without tagging on some sort) requires ..... let's just say some
work :-)
Cheers
Cameron |
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| Albretch Mueller... |
Posted: Thu Jun 19, 2008 8:46 pm |
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Cameron Hughes wrote:
Quote: Without some sort of tagging of the original text, you're talking about
something that is non trivial.
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It sure isn't, but I think linguistics and NLP can help quite a bit here
and I wonder is there is some work already out there using what we have got
right now
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As I see things the verb to be wears a big red clown nose
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I am not a linguist but my hungry intuition tells me that there are ways
out there of building questions based on plain sentences
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The meeting will be at 3 PM . . .
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At what time will the meeting start?
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I know this is very basic and naive I am just using it to clearly show what
I mean
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Quote: While the '?' might or might not identify the questions in the text
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Well actually I wasn't asking for a way to -identify- questions in a text,
but mining them
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thanx
lbrtchx |
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| Cameron Hughes... |
Posted: Fri Jun 20, 2008 5:46 pm |
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Guest
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Albretch Mueller wrote:
Quote: Cameron Hughes wrote:
Without some sort of tagging of the original text, you're talking about
something that is non trivial.
~
It sure isn't, but I think linguistics and NLP can help quite a bit here
and I wonder is there is some work already out there using what we have got
right now
~
As I see things the verb to be wears a big red clown nose
~
I am not a linguist but my hungry intuition tells me that there are ways
out there of building questions based on plain sentences
~
The meeting will be at 3 PM . . .
~
At what time will the meeting start?
~
I know this is very basic and naive I am just using it to clearly show what
I mean
~
While the '?' might or might not identify the questions in the text
~
Well actually I wasn't asking for a way to -identify- questions in a text,
but mining them
~
thanx
lbrtchx
If you're not asking about 'identifying questions in the text' then could
clarify what you
mean by 'mining questions in the text'
I'm sure you don't mean that you're trying to extrapolate what questions can
be asked
from some given text, because that could be infinitely many questions.
So please clarify... |
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| Albretch Mueller... |
Posted: Sat Jun 21, 2008 4:37 am |
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Cameron Hughes wrote:
Quote: If you're not asking about 'identifying questions in the text' then
could clarify what you
mean by 'mining questions in the text'
I'm sure you don't mean that you're trying to extrapolate what questions
can be asked
from some given text, because that could be infinitely many questions.
So please clarify...
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Well, you helped me see my bias
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The thing is that right now I am trying to extract questions and answers
from technical specifications and of course, since they are such
(specifications) you may just get all conjugations of the verb to be and do
the parsing/selection of the potential questions
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You are absolutely right! It is virtually impossible to produce -all-
questions that could possibly try to understand/introspect/own some issue
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thanx
lbrtchx |
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| Cameron Hughes... |
Posted: Tue Jul 01, 2008 5:17 pm |
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Guest
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Albretch Mueller wrote:
Quote: Cameron Hughes wrote:
If you're not asking about 'identifying questions in the text' then
could clarify what you
mean by 'mining questions in the text'
I'm sure you don't mean that you're trying to extrapolate what questions
can be asked
from some given text, because that could be infinitely many questions.
So please clarify...
~
Well, you helped me see my bias
~
The thing is that right now I am trying to extract questions and answers
from technical specifications and of course, since they are such
(specifications) you may just get all conjugations of the verb to be and do
the parsing/selection of the potential questions
~
You are absolutely right! It is virtually impossible to produce -all-
questions that could possibly try to understand/introspect/own some issue
~
thanx
lbrtchx
A legitmate approach to building a Q&A system can be found in
"Natural Language Question Answering System" by Boris Galitsky
This book gives some very doable architectures for real world systems.
Subject matter such as "technical specifications" are very good candidates
for his "Semantic Headers" technique.
Cheers
Cameron |
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| pgfulg... |
Posted: Sat Nov 22, 2008 11:11 am |
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