Publikationen, an denen er mitarbeitet Ricardo Olmos Albacete (27)

2024

  1. Modeling personality language use with small semantic vector subspaces

    Personality and Individual Differences, Vol. 219

  2. Quantum projections on conceptual subspaces: A deeper dive into methodological challenges and opportunities

    Science Progress

2023

  1. Are valence and arousal related to the development of amodal representations of words? A computational study

    Cognition and Emotion

2022

  1. A Failed Cross-Validation Study on the Relationship between LIWC Linguistic Indicators and Personality: Exemplifying the Lack of Generalizability of Exploratory Studies

    Psych, Vol. 4, Núm. 4, pp. 803-815

  2. Distilling vector space model scores for the assessment of constructed responses with bifactor Inbuilt Rubric method and latent variables

    Behavior Research Methods, Vol. 54, Núm. 5, pp. 2579-2601

  3. La evaluación automática de textos discursivos para enseñar y aprender dentro y fuera del aula: el entorno G-Rubric

    Educación sincrónica digital: debilidades y fortalezas (Virtual Educa), pp. 191-216

2021

  1. Can personality traits be measured analyzing written language? A meta-analytic study on computational methods

    Personality and Individual Differences, Vol. 177

  2. Emotional Valence Precedes Semantic Maturation of Words: A Longitudinal Computational Study of Early Verbal Emotional Anchoring

    Cognitive Science, Vol. 45, Núm. 7

  3. Redundancy, isomorphism, and propagative mechanisms between emotional and amodal representations of words: A computational study

    Memory and Cognition, Vol. 49, Núm. 2, pp. 219-234

2020

  1. Bridging the theoretical gap between semantic representation models without the pressure of a ranking: some lessons learnt from LSA

    Cognitive Processing, Vol. 21, Núm. 1

2019

  1. Could LSA become a “Bifactor” model? Towards a model with general and group factors

    Expert Systems with Applications, Vol. 131, pp. 71-80

2018

  1. Word maturity indices with latent semantic analysis: why, when, and where is Procrustes rotation applied?

    Wiley Interdisciplinary Reviews: Cognitive Science, Vol. 9, Núm. 1

2017

  1. Predicting Word Maturity from Frequency and Semantic Diversity: A Computational Study

    Discourse Processes, Vol. 54, Núm. 8, pp. 682-694

  2. The role of domain knowledge in cognitive modeling of information search

    Information Retrieval Journal, Vol. 20, Núm. 5, pp. 456-479

2016

  1. Transforming LSA space dimensions into a rubric for an automatic assessment and feedback system

    Information Processing and Management, Vol. 52, Núm. 3, pp. 359-373

2015

  1. Call routing based on a combination of the construction- Integration model and latent semantic analysis: A full system

    Informatica (Slovenia), Vol. 39, Núm. 1, pp. 9-21

2014

  1. How lexical ambiguity distributes activation to semantic neighbors: Some possible consequences within a computational framework

    Mental Lexicon, Vol. 9, Núm. 1, pp. 67-106

  2. Transforming Selected Concepts Into Dimensions in Latent Semantic Analysis

    Discourse Processes, Vol. 51, Núm. 5-6, pp. 494-510

2013

  1. Using latent semantic analysis to grade brief summaries: A study exploring texts at different academic levels

    Literary and Linguistic Computing, Vol. 28, Núm. 3, pp. 388-403

2012

  1. The Construction-Integration framework: A means to diminish bias in LSA-based call routing

    International Journal of Speech Technology, Vol. 15, Núm. 2, pp. 151-164