Abstract | ||
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A method for automatic plot analysis of narrative texts that uses components of both traditional sym- bolic analysis of natural language and statistical machine-learning is presented for the story rewrit- ing task. In the story rewriting task, an exemplar story is read to the pupils and the pupils rewrite the story in their own words. This allows them to prac- tice language skills such as spelling, diction, and grammar without being stymied by content creation. Often the pupil improperly recalls the story. Our method of automatic plot analysis enables the tu- toring system to automatically analyze the student's story for both general coherence and specific miss- ing events. |
Year | Venue | Keywords |
---|---|---|
2004 | EMNLP | natural language |
Field | DocType | Volume |
Diction,Computer science,Grammar,Narrative,Natural language,Content creation,Spelling,Symbolic data analysis,Artificial intelligence,Natural language processing,Rewriting,Linguistics | Conference | W04-32 |
Citations | PageRank | References |
8 | 1.42 | 4 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Harry Halpin | 1 | 444 | 29.83 |
Johanna D. Moore | 2 | 2152 | 443.80 |
Judy Robertson | 3 | 69 | 10.06 |