Name
Abstract | ||
|---|---|---|
There is considerable evidence that people generally learn items better when the presentation of items is distributed over a period of time (the spacing effect). We hypothesize that both forgetting and attention to novelty play a role in the spacing effect in word learning. We build an incremental probabilistic computational model of word learning that incorporates a forgetting and attentional mechanism. Our model accounts for experimental results on children as well as several patterns observed in adults. |
Year | Venue | Keywords |
|---|---|---|
2012 | CMCL@NAACL-HLT | word learning,incremental probabilistic computational model,considerable evidence,model account,spacing effect,attentional mechanism |
Field | DocType | Citations |
Forgetting,Spacing effect,Computer science,Cognitive psychology,Artificial intelligence,Natural language processing,Novelty,Probabilistic logic,Word learning,Machine learning | Conference | 4 |
PageRank | References | Authors |
0.68 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aida Nematzadeh | 1 | 25 | 9.37 |
| Afsaneh Fazly | 2 | 213 | 26.99 |
| Suzanne Stevenson | 3 | 566 | 64.31 |