: [agi] Incremental Fluid Construction Grammar released
Do you plan to pay these non-experts, or recruit them as volunteers?
ben
On Jan 10, 2008 1:11 PM, Stephen Reed [EMAIL PROTECTED] wrote:
Granted that from a logical viewpoint, using a controlled English syntax to
acquire rules is as much
78704
512.791.7860
- Original Message
From: James Ratcliff [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Wednesday, January 23, 2008 11:55:19 AM
Subject: Re: [agi] Incremental Fluid Construction Grammar released
I agree with most everything you have said so far, is in line with alot
Vladimir,
What do you mean by difference in processing here?
I said the difference was after the initial processing. By processing
I meant syntactic and semantic processing. After processing the
syntax related sentence the realm of action is changing the system
itself, rather than knowledge of
On Jan 11, 2008 3:01 PM, William Pearson [EMAIL PROTECTED] wrote:
Vladimir,
What do you mean by difference in processing here?
I said the difference was after the initial processing. By processing
I meant syntactic and semantic processing. After processing the
syntax related sentence the
On 10/01/2008, Benjamin Goertzel [EMAIL PROTECTED] wrote:
Processing a dictionary in a useful way
requires quite sophisticated language understanding ability, though.
Once you can do that, the hard part of the problem is already
solved ;-)
While this kind of system requires sophisticated
I'll be a lot more interested when people start creating NLP systems
that are syntactically and semantically processing statements about
words, sentences and other linguistic structures and adding syntactic
and semantic rules based on those sentences.
Depending on exactly what you mean by
Ben asked:
What is the semantics of
?on-situation-localized-14 rdf:type texai:On-SituationLocalized
On-SituationLocalized is a term I created for this use case, while postponing
its associated definitional assertions. What I have in mind is that
On-SituationLocalized is a specialization
On Jan 10, 2008 9:59 AM, Stephen Reed [EMAIL PROTECTED] wrote:
and that the system is to learn constructions for your examples. The below
dialog is Controlled English, in which the system understands and generates
constrained syntax and vocabulary.
[user] The elements of a shit-list can be
- Original Message
From: Benjamin Goertzel [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Wednesday, January 9, 2008 4:04:58 PM
Subject: Re: [agi] Incremental Fluid Construction Grammar released
And how would a young child or foreigner interpret on the Washington
Monument
On 10/01/2008, Benjamin Goertzel [EMAIL PROTECTED] wrote:
I'll be a lot more interested when people start creating NLP systems
that are syntactically and semantically processing statements *about*
words, sentences and other linguistic structures and adding syntactic
and semantic rules
A typo in my previous post:
...
Therefore, from the viewpoint of CxG, your example variations of the
on construction have their own associated semantics, and are
*NOT* necessarily covered by the rules that I developed for my sense of
on.
...
-Steve
Stephen L. Reed
Artificial Intelligence
http://texai.org/blog
http://texai.org
3008 Oak Crest Ave.
Austin, Texas, USA 78704
512.791.7860
- Original Message
From: Mike Dougherty [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Thursday, January 10, 2008 9:17:43 AM
Subject: Re: [agi] Incremental Fluid Construction Grammar
Pearson [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Thursday, January 10, 2008 9:26:27 AM
Subject: Re: [agi] Incremental Fluid Construction Grammar released
On 10/01/2008, Benjamin Goertzel wrote:
I'll be a lot more interested when people start creating
NLP
systems
On Jan 10, 2008 10:26 AM, William Pearson [EMAIL PROTECTED] wrote:
On 10/01/2008, Benjamin Goertzel [EMAIL PROTECTED] wrote:
I'll be a lot more interested when people start creating NLP systems
that are syntactically and semantically processing statements *about*
words, sentences and
Hi,
Yes, the Texai implementation of Incremental Fluid Construction Grammar
follows the phrase structure approach in which leaf lexical constituents are
grouped into a structure (i.e. construction) hierarchy. Yet, because it is
incremental and thus cognitively plausible, it should scale to
Goertzel [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Thursday, January 10, 2008 11:06:45 AM
Subject: Re: [agi] Incremental Fluid Construction Grammar released
On Jan 10, 2008 10:26 AM, William Pearson [EMAIL PROTECTED] wrote:
On 10/01/2008, Benjamin Goertzel [EMAIL PROTECTED] wrote:
I'll
http://texai.org/blog
http://texai.org
3008 Oak Crest Ave.
Austin, Texas, USA 78704
512.791.7860
- Original Message
From: Benjamin Goertzel [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Thursday, January 10, 2008 11:06:45 AM
Subject: Re: [agi] Incremental Fluid Construction
PM
Subject: Re: [agi] Incremental Fluid Construction Grammar released
Do you plan to pay these non-experts, or recruit them as volunteers?
ben
On Jan 10, 2008 1:11 PM, Stephen Reed [EMAIL PROTECTED] wrote:
Granted that from a logical viewpoint, using a controlled English syntax to
acquire
On Jan 10, 2008 10:57 AM, Stephen Reed [EMAIL PROTECTED] wrote:
If I understand your question correctly it asks whether a non-expert
user can be guided to use Controlled English in a dialog system. In
This is an idea that I wanted to try at Cycorp but Doug Lenat
said that it had been tried
/blog
http://texai.org
3008 Oak Crest Ave.
Austin, Texas, USA 78704
512.791.7860
- Original Message
From: Mike Dougherty [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Thursday, January 10, 2008 2:25:33 PM
Subject: Re: [agi] Incremental Fluid Construction Grammar released
On Jan 10, 2008
On 10/01/2008, Benjamin Goertzel [EMAIL PROTECTED] wrote:
On Jan 10, 2008 10:26 AM, William Pearson [EMAIL PROTECTED] wrote:
On 10/01/2008, Benjamin Goertzel [EMAIL PROTECTED] wrote:
I'll be a lot more interested when people start creating NLP systems
that are syntactically and
.listbox.com
Sent: Thursday, January 10, 2008 3:04:34 PM
Subject: Re: [agi] Incremental Fluid Construction Grammar released
On 10/01/2008, Benjamin Goertzel [EMAIL PROTECTED] wrote:
On Jan 10, 2008 10:26 AM, William Pearson [EMAIL PROTECTED] wrote:
On 10/01/2008, Benjamin Goertzel [EMAIL PROTECTED
All this discussion of building a grammar seems to ignore the obvious fact
that in humans, language learning is a continuous process that does not
require any explicit encoding of rules. I think either your model should
learn this way, or you need to explain why your model would be more
On Jan 10, 2008 10:03 PM, Matt Mahoney [EMAIL PROTECTED] wrote:
All this discussion of building a grammar seems to ignore the obvious fact
that in humans, language learning is a continuous process that does not
require any explicit encoding of rules. I think either your model should
learn
Crest Ave.
Austin, Texas, USA 78704
512.791.7860
- Original Message
From: Benjamin Goertzel [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Thursday, January 10, 2008 9:14:43 PM
Subject: Re: [agi] Incremental Fluid Construction Grammar released
On Jan 10, 2008 10:03 PM, Matt Mahoney [EMAIL
On the SourceForge project site, I just released the Java library for
Incremental Fluid Construction Grammar.
Fluid Construction Grammar is a natural language parsing and generation system
developed by researchers at emergent-languages.org. The system features a
production rule mechanism for
: Wednesday, January 09, 2008 3:51 PM
Subject: Re: [agi] Incremental Fluid Construction Grammar released
What is the semantics of
?on-situation-localized-14 rdf:type texai:On-SituationLocalized
??
How would your system parse
The book is on neuroscience
or
The book is on the Washington Monument
And how would a young child or foreigner interpret on the Washington
Monument or shit list? Both are physical objects and a book *could* be
resting on them.
Sorry, my shit list is purely mental in nature ;-) ... at the moment, I maintain
a task list but not a shit list... maybe I need to
.listbox.com
Sent: Wednesday, January 09, 2008 5:04 PM
Subject: Re: [agi] Incremental Fluid Construction Grammar released
And how would a young child or foreigner interpret on the Washington
Monument or shit list? Both are physical objects and a book *could* be
resting on them.
Sorry, my shit list
A perhaps nicer example is
Get me the ball
for which RelEx outputs
definite(ball)
singular(ball)
imperative(get)
singular(me)
definite(me)
_obj(get, me)
_obj2(get, ball)
and RelExToFrame outputs
Bringing:Theme(get,me)
Bringing:Beneficiary(get,me)
Bringing:Theme(get,ball)
Can you give about ten examples of rules? (That would answer a lot of my
questions above)
That would just lead to really long list of questions that I don't have time to
answer right now
In a month or two, we'll write a paper on the rule-encoding approach we're
using, and I'll post it to
Processing a dictionary in a useful way
requires quite sophisticated language understanding ability, though.
Once you can do that, the hard part of the problem is already
solved ;-)
Ben
On Jan 9, 2008 7:22 PM, William Pearson [EMAIL PROTECTED] wrote:
On 09/01/2008, Benjamin Goertzel [EMAIL
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