[ont.events] AI SEMINAR - Semantic Interpretation Against Ambiguity by G. Hirst, Dept. of Computer Science, U of T.

voula@utcsri.UUCP (Voula Vanneli) (03/19/85)

                   UNIVERSITY OF TORONTO
               DEPARTMENT OF COMPUTER SCIENCE
  (_S_F = _S_a_n_d_f_o_r_d _F_l_e_m_i_n_g _B_u_i_l_d_i_n_g, _1_0 _K_i_n_g'_s _C_o_l_l_e_g_e _R_o_a_d)

ARTIFICIAL INTELLIGENCE SEMINAR - Tuesday, March 26,  3  pm,
SF 1105
                   Professor Graeme Hirst
      Dept. of Computer Science, University of Toronto

        "Semantic Interpretation Against Ambiguity"


                          Abstract

     A semantic interpreter must be able to provide feedback
to  the parser to help it handle structural ambiguities.  In
Absity, the semantic interpreter we describe, this  is  done
by  the  "Semantic Enquiry Desk", a process that answers the
parser's questions on semantic preferences.   Disambiguation
of  word  senses  and of case slots is done by a set of pro-
cedures, one per word or slot, each of which determines  its
correct  sense  in cooperation with the others.  A partially
disambiguiated  procedure's  remaining   possibilities   are
well-formed Frail objects that can be seen and used by other
processes, including the Semantic Enquiry Desk,  just  as  a
person  can  see  many  of the details of a partly developed
"instant" photograph.  It is  from  the  fact  that  partial
results  are  always  well-formed  semantic objects that the
system gains much of its power.  This, in turn,  comes  from
the  strict  correspondence  between syntax and semantics in
Absity.