Name
Abstract | ||
|---|---|---|
The major system is a mnemonic system that can be used to memorize sequences of numbers. In this work, we present a method to automatically generate sentences that encode a given number. We propose several encoding models and compare the most promising ones in a password memorability study. The results of the study show that a model combining part-of-speech sentence templates with an $n$-gram language model produces the most memorable password representations. |
Year | Venue | Field |
|---|---|---|
2017 | arXiv: Computation and Language | ENCODE,Computer science,Artificial intelligence,Natural language processing,Password,Mnemonic,Sentence,Language model,Memorization,Encoding (memory) |
DocType | Volume | Citations |
Journal | abs/1705.02700 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vincent Fiorentini | 1 | 0 | 0.34 |
| Megan Shao | 2 | 0 | 0.34 |
| Julie Medero | 3 | 0 | 0.34 |