Evolving Questions in Text Planning

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Mick O'Donnell",
  title =        "Evolving Questions in Text Planning",
  booktitle =    "INLG 2008 Fifth International Natural Language
                 Generation Conference",
  year =         "2008",
  editor =       "Michael White and Crystal Nakatsu and David McDonald",
  pages =        "121--128",
  address =      "Salt Fork Resort and Conference Center, Ohio, USA",
  month =        jun # " 12-14",
  organisation = "SIGGEN, the ACL Special Interest Group on Natural
                 Language Generation",
  publisher =    "The Association for Computational Linguistics",
  email =        "inlg2008@ling.osu.edu",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.aclweb.org/anthology-new/W/W08/W08-1116.pdf",
  size =         "8 pages",
  abstract =     "This paper explores how the main question addressed in
                 Text Planning has evolved over the last twenty years.
                 Earlier approaches to text planning asked the question:
                 How do we write a good text?, and whatever answers were
                 found were programmed directly into code. With the
                 introduction of search-based text planning in recent
                 years, the focus shifted to the evaluation function,
                 and thus the question became: How do we tell if a text
                 is good? This paper will explore these evolving
                 questions, and subsequent refinements of them as the
                 field matures.",
  notes =        "No mention of GP.

                 INLG2008 held immediately prior to ACL-08:HLT
                 Conference http://linguistics.osu.edu/inlg2008/",

Genetic Programming entries for Michael O'Donnell