Name
Abstract | ||
|---|---|---|
For many applications measuring the similarity between documents is essential. However, little is known about how users perceive similarity between documents. This paper presents the first large-scale empirical study that investigates perception of narrative similarity using crowdsourcing. As a dataset we use a large collection of Dutch folk narratives. We study the perception of narrative similarity by both experts and non-experts by analyzing their similarity ratings and motivations for these ratings. While experts focus mostly on the plot, characters and themes of narratives, non-experts also pay attention to dimensions such as genre and style. Our results show that a more nuanced view is needed of narrative similarity than captured by story types, a concept used by scholars to group similar folk narratives. We also evaluate to what extent unsupervised and supervised models correspond with how humans perceive narrative similarity. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2661829.2661918 | CIKM |
Keywords | Field | DocType |
similarity,crowdsourcing,folktales,narratives,information search and retrieval | Data mining,Computer science,Crowdsourcing,Narrative,Narrative criticism,Plot (narrative),Perception,Empirical research | Conference |
Citations | PageRank | References |
7 | 0.53 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Nguyen | 1 | 682 | 49.92 |
| Dolf Trieschnigg | 2 | 525 | 42.73 |
| Mariët Theune | 3 | 379 | 43.91 |