Points: a theory of the structure of stories in memory
Readings in natural language processing
Computers and design in context
Computers and design in context
Cooperative inquiry: developing new technologies for children with children
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Kids as informants: telling us what we didn't know or confirming what we knew already?
The design of children's technology
Finding the WRITE Stuff: Automatic Identification of Discourse Structure in Student Essays
IEEE Intelligent Systems
Feedback on Children's Stories via Multiple Interface Agents
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Story understanding through multi-representation model construction
HLT-NAACL-TEXTMEANING '03 Proceedings of the HLT-NAACL 2003 workshop on Text meaning - Volume 9
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Marco Somalvico Memorial Issue
Jabberwocky: children's digital ink story writing from nonsense to sense
Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts
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Involving a school teacher in the development of the intelligent writing tutor StoryStation allowed progress to be made on the problem of story classication. An experienced Scottish school-teacher developed a rating scale and guidelines for StoryStation's automated plot analysis agent for the story rewriting task. In this task, pupils rewrite a story in their own words, allowing them to devote their full attention to improving their writing technique instead of creating a new plot. If the pupil forgets or confuses parts of the plot, the software needs to be able to detect this so that it may alert the pupil or their teacher. Teacher participation in the creation of the rating scale guided both the development of the tools used to analyze the stories and the scope of the plot analysis agent. A teacher and a story-teller rated the corpus, and this scale was used to successfully train the agent to classify both ''good'' and ''poor'' stories. Classification of ''excellent'' and ''fair'' stories proved to be very difficult. A number of facets of story understanding are shown to be beyond the range of the automated plot analysis agent and the advantages and disadvantages of automated plot analysis are weighed, including social factors.