Cargando…
A study on surprisal and semantic relatedness for eye-tracking data prediction
Previous research in computational linguistics dedicated a lot of effort to using language modeling and/or distributional semantic models to predict metrics extracted from eye-tracking data. However, it is not clear whether the two components have a distinct contribution, with recent studies claimin...
Autores principales: | Salicchi, Lavinia, Chersoni, Emmanuele, Lenci, Alessandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931754/ https://www.ncbi.nlm.nih.gov/pubmed/36818086 http://dx.doi.org/10.3389/fpsyg.2023.1112365 |
Ejemplares similares
-
Predictive Memory and the Surprising Gap
por: De Brigard, Felipe
Publicado: (2012) -
Surprisal and Valuation in the Predictive Brain
por: Huebner, Bryce
Publicado: (2012) -
Opposing Effects of Semantic Diversity in Lexical and Semantic Relatedness Decisions
por: Hoffman, Paul, et al.
Publicado: (2015) -
Towards a distributed connectionist account of cognates and interlingual homographs: evidence from semantic relatedness tasks
por: Poort, Eva D., et al.
Publicado: (2019) -
Novelty or Surprise?
por: Barto, Andrew, et al.
Publicado: (2013)