A Genetic Programming Approach For Robust Language Interpretation

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Carolyn Penstein Rose",
  title =        "A Genetic Programming Approach For Robust Language
  booktitle =    "Advances in Genetic Programming 3",
  publisher =    "MIT Press",
  year =         "1999",
  editor =       "Lee Spector and William B. Langdon and 
                 Una-May O'Reilly and Peter J. Angeline",
  chapter =      "4",
  pages =        "67--88",
  address =      "Cambridge, MA, USA",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-262-19423-6",
  URL =          "http://www.cs.bham.ac.uk/~wbl/aigp3/ch04.pdf",
  abstract =     "We discuss the application of genetic programming (GP)
                 to the problem of robust language understanding in the
                 context of a large scale multi-lingual speech-to-speech
                 translation system. Efficiently and effectively
                 processing sentences outside of the coverage of a
                 system's linguistic knowledge sources is still an open
                 problem in computational linguistics, a problem that
                 must be faced if natural language interfaces will ever
                 be practical. In this chapter, the GP based ROSE
                 approach to robust language understanding is
                 demonstrated to yield a significantly better
                 time/quality trade-off than previous non-GP approaches.
                 GP is used to search for the optimal way to assemble
                 fragments of a meaning representation. The ROSE
                 approach is the first application of a program
                 induction technique to a problem of this type.",
  notes =        "AiGP3 See http://cognet.mit.edu",

Genetic Programming entries for Carolyn Penstein Rose