Inferring Propp’s Functions from Semantically Annotated Text
Bibliographic Data
| ID | 7839619 |
|---|---|
| Authors | Mark Alan Finlayson |
| Year | 2016 |
| Volume | 129 |
| Issue | 511 |
| Pages | 55-77 |
| Publication date | 2016-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of American Folklore (JOURNAL) |
| Journal identifiers | ISSN: 0021-8715 • E-ISSN: 1535-1882 |
| Publisher | University of Illinois Press (PUBLISHER • US) |
| DOI | 10.5406/jamerfolk.129.511.0055 |
| OpenAlex | W2332793758 |
| Language | EN |
| Citations received | 8 |
| References cited | 22 |
Vladimir Propp’s Morphology of the Folktale is a seminal work in folkloristics and a compelling subject of computational study. I demonstrate a technique for learning Propp’s functions from semantically annotated text. Fifteen folktales from Propp’s corpus were annotated for semantic roles, co-reference, temporal structure, event sentiment, and dramatis personae. I derived a set of merge rules from descriptions given by Propp. These rules, when coupled with a modified version of the model merging learning framework, reproduce Propp’s functions well. Three important function groups--namely A/a (villainy/lack), H/I (struggle and victory), and W (reward)--are identified with high accuracies. This is the first demonstration of a computational system learning a real theory of narrative structure
Computational Creativity · Heuristics · Information retrieval · Linguistics · Merge (version control) · Narrative · Natural language processing · Artificial Intelligence · Computer Science · Digital Humanities and Scholarship · Natural Language Processing Techniques · Philosophy · Psychology · Topic Modeling
Mbah Bongkok pahlawan mitologis masyarakat Tegalwaru
The Thirty-One Functions in Vladimir Propp’s Morphology of the Folktale
Computational folktale studies. A very brief history
Teaching Tale Types to a Computer
“Altın Çağ Geçmişte Değil, Gelecekte”
Toward a Generative Model of Legend
The Most Beautiful of All
The theoretical, methodological and technical issues of digital folklore databases and computational folkloristics
| Unique citing works | 8 |
|---|---|
| Citations per year | 0,89 |
| Citation span | 2017 - 2023 (7) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 6 |