Name
Title | ||
|---|---|---|
Skillex: A Graph-Based Lexical Score For Measuring The Semantic Efficiency Of Used Verbs By Human Subjects Describing Actions |
Abstract | ||
|---|---|---|
Dictionaries are sociocultural objects that can be used as underlying structures of cognitive science models. We first show that the lexical networks constructed from dictionaries, despite a surface disagreement at links level, share a common topological structure. We assume that this deep structure reflects the semantic organisation of the lexicon shared by the members of a linguistic community. We propose a model based on the exploration of this specific structure to analyse and compare the semantic efficiency of [Children/Adults] productions in action labelling tasks. We define a generic score of semantic efficiency, SKILLEX. Assigned to participants of the APPROX protocol, this score enables us to accurately classify them into Children and Adults categories. |
Year | Venue | Keywords |
|---|---|---|
2014 | TRAITEMENT AUTOMATIQUE DES LANGUES | dictionary, networks, lexicon, Approx, Skillex |
DocType | Volume | Issue |
Journal | 55 | 3 |
ISSN | Citations | PageRank |
1248-9433 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bruno Gaume | 1 | 83 | 15.47 |
| Karine Duvignau | 2 | 0 | 0.34 |
| Emmanuel Navarro | 3 | 51 | 6.78 |
| Yann Desalle | 4 | 0 | 0.34 |
| Hintat Cheung | 5 | 0 | 0.34 |
| Shu-kai Hsieh | 6 | 47 | 21.47 |
| pierre magistry | 7 | 16 | 5.42 |
| Laurent Prévot | 8 | 60 | 14.34 |