- 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",
-
URL = "
https://dl.acm.org/doi/10.5555/1708322.1708345",
- 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/",
