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"
or
"The book is on fire"
or
"The book is on my shit list"
???
thx
Ben
On Jan 9, 2008 3:37 PM, Stephen Reed <[EMAIL PROTECTED]> wrote:
>
> Ben,
>
> The use case utterance "the block is on the table" yields the following RDF
> statements (i.e. subject, predicate, object triples). A yet-to-be written
> discourse mechanism will resolve ?obj-4 to the known book and ?obj-18 to the
> known table.
>
> Parsed statements about "the book":
> ?obj-4 rdf:type cyc:BookCopy
> ?obj-4 rdf:type texai:FCGClauseSubject
> ?obj-4 rdf:type texai:PreviouslyIntroducedThingInThisDiscourse
> ?obj-4 texai:fcgDiscourseRole texai:external
> ?obj-4 texai:fcgStatus texai:ingleObject
>
> Parsed statements about "the table":
> ?obj-18 rdf:type cyc:Table
> ?obj-18 rdf:type texai:PreviouslyIntroducedThingInThisDiscourse
> ?obj-18 texai:fcgDiscourseRole texai:external
> ?obj-18 texai:fcgStatus texai:SingleObject
>
> Parsed statements about "the book on the table":
> ?on-situation-localized-14 rdf:type texai:On-SituationLocalized
> ?on-situation-localized-14 texai:aboveObject ?obj-4
> ?on-situation-localized-14 texai:belowObject ?obj-18
>
> Parsed statements about that the book "is" on the table ( the fact that
> ?on-situation-localized-14 is a proper sub-situtation of
> ?situation-localized-10 should also be here):
> ?situation-localized-10 rdf:type cyc:Situation-Localized
> ?situation-localized-10 texai:situationHappeningOnDate cyc:Now
> ?situation-localized-10 cyc:situationConstituents ?obj-4
>
> Cyc parsing is based upon semantic translation templates, which are stitched
> together with procedural code following the determination of constituent
> structure by a plug-in parser such as the CMU link-grammar. My method
> differs in that: (1) I want to get the entire and precise semantics from the
> utterance. (2) FCG is reversible, the same construction rules not only parse
> input text, but can be applied in reverse to re-create the original
> utterance from its semantics. Cyc has a separate system for NL generation.
> (3) Cyc hand-codes their semantic translation templates and I have in mind
> building an expert English dialog system using minimal hand-coded Controlled
> English, for the purpose of interacting with a multitude of non-linguists to
> extend its linguistic knowledge.
>
> -Steve
>
> Stephen L. Reed
>
> Artificial Intelligence Researcher
> 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: [email protected]
> Sent: Wednesday, January 9, 2008 1:45:34 PM
> Subject: Re: [agi] Incremental Fluid Construction Grammar released
>
> Steve,
>
> The output of FCG seems very syntax-ish...
>
> Do you have mechanisms in texai for mapping the output of FCG into
> higher-level, more semantic-ish relationships like the ones use in
> OpenCyc?
>
> As you know better than me, within Cyc they have a large system of
> rules for mapping the syntactic output of their parser into their
> semantic representation.
>
> The degree to which an AI system learns such mapping rules, versus has
> them hand-encoded, is a very important issue, because in many ways
> these rules are a subtler and harder problem than the rules of syntax.
>
> -- Ben G
>
> On Jan 9, 2008 2:21 PM, Stephen Reed <[EMAIL PROTECTED]> wrote:
> >
> > 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 both parsing and generation using
> a
> > reversible grammar. This library extends FCG so that it operates
> > incrementally, word by word, left to right in English. Furthermore, its
> > construction rules are adapted from Double R Grammar. See this blog post
> for
> > more information about Double R Grammar.
> >
> > Execution scripts for a parsing benchmark and for the unit test cases are
> > supplied in Linux and Windows versions.
> >
> > Next tasks are to integrate IFCG into the existing, but not yet released,
> > dialog framework. The framework will heuristically guide the application
> of
> > construction rules during parsing, and plan the application of rules
> during
> > generation. Furthermore the framework will incrementally prune alternate
> > interpretations during parsing by employing Walter Kintsch's
> > Construction/Integration method for discourse comprehension.
> >
> >
> >
> >
> >
> > -Steve
> >
> > Stephen L. Reed
> >
> > Artificial Intelligence Researcher
> > http://texai.org/blog
> > http://texai.org
> > 3008 Oak Crest Ave.
> > Austin, Texas, USA 78704
> > 512.791.7860
> >
> >
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