A Genetic Programming Approach For Robust Language Interpretation

Created by W.Langdon from gp-bibliography.bib Revision:1.8620

@InCollection{rose:1999:aigp3,

• author = "Carolyn Penstein Rose",
• title = "A Genetic Programming Approach For Robust Language Interpretation",
• 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.ucl.ac.uk/staff/W.Langdon/aigp3/ch04.pdf",
• DOI = "10.7551/mitpress/1110.003.0007",
• 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

Citations