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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 30 1 Language Models Explain Word Reading Times Better Than Empirical Predictability ... Hofmann, Markus J.; Remus, Steffen; Biemann, Chris. - : arXiv, 2022 BASE Show details 2 Language Models Explain Word Reading Times Better Than Empirical Predictability Hofmann, Markus J.; Remus, Steffen; Biemann, Chris... In: Front Artif Intell (2022) BASE Show details 3 Meditation affects word recognition of meditation novices Lusnig, Larissa; Radach, Ralph; Hofmann, Markus J. In: Psychol Res (2021) BASE Show details 4 Zen meditation neutralizes emotional evaluation, but not implicit affective processing of words ... Lusnig, Larissa; Radach, Ralph; Mueller, Christina. - : figshare, 2020 BASE Show details 5 Zen meditation neutralizes emotional evaluation, but not implicit affective processing of words ... Lusnig, Larissa; Radach, Ralph; Mueller, Christina. - : figshare, 2020 BASE Show details 6 Individual corpora predict fast memory retrieval during reading ... The 28th International Conference on Computational Linguistics 2020; Biemann, Chris; Hofmann, Markus J.; Müller, Lara; Radach, Ralph; Rölke, Andre. - : Underline Science Inc., 2020 Abstract: The corpus, from which a predictive language model is trained, can be considered the experience of a semantic system. We recorded everyday reading of two participants for two months on a tablet, generating individual corpus samples of 300/500K tokens. Then we trained word2vec models from individual corpora and a 70 million-sentence newspaper corpus to obtain individual and norm-based long-term memory structure. To test whether individual corpora can make better predictions for a cognitive task of long-term memory retrieval, we generated stimulus materials consisting of 134 sentences with uncorrelated individual and norm-based word probabilities. For the subsequent eye tracking study 1-2 months later, our regression analyses revealed that individual, but not norm-corpus-based word probabilities can account for first-fixation duration and first-pass gaze duration. Word length additionally affected gaze duration and total viewing duration. The results suggest that corpora representative for an individual’s ... Keyword: Cognitive Science; Computer and Information Science; Natural Language Processing; Neural Network URL: https://dx.doi.org/10.48448/s2ss-x451 https://underline.io/lecture/6474-individual-corpora-predict-fast-memory-retrieval-during-reading BASE Hide details 7 Individual corpora predict fast memory retrieval during reading ... Hofmann, Markus J.; Müller, Lara; Rölke, Andre. - : arXiv, 2020 BASE Show details 8 A Lexical Frequency Analysis of Irish Sign Language Hofmann, Markus; Smith, Robert G In: Other Resources (2020) BASE Show details 9 A Lexical Frequency Analysis of Irish Sign Language Smith, Robert G.; Hofmann, Markus In: Articles (2020) BASE Show details 10 Zen meditation neutralizes emotional evaluation, but not implicit affective processing of words Lusnig, Larissa; Radach, Ralph; Mueller, Christina J.. - : Public Library of Science, 2020 BASE Show details 11 Decomposing predictability: Semantic feature overlap between words and the dynamics of reading for meaning ... Hofmann, Markus J.; Kleemann, Mareike A.; Roelke, Andre. - : arXiv, 2019 BASE Show details 12 Sampling Techniques to Overcome Class Imbalance in a Cyberbullying Context Hofmann, Markus; Colton, David. - : Universitat Politècnica de València, 2019 BASE Show details 13 A qualitative analysis of the Wikipedia N-Substate Algorithm's Enhancement Terms Goslin, Kyle; Hofmann, Markus. - : Universitat Politècnica de València, 2019 BASE Show details 14 Non-Manual Articulators in Irish Sign Language Verbs: An Analysis with Data Mining Association Rules Smith, Robert G; Hofmann, Markus In: Conference Papers (2018) BASE Show details 15 Sentiment Analysis: Comparative Analysis Of Multilingual Sentiment And Opinion Classification Techniques ... Sannikumar Patel; Nolan, Brian; Hofmann, Markus. - : Zenodo, 2017 BASE Show details 16 Sentiment Analysis: Comparative Analysis Of Multilingual Sentiment And Opinion Classification Techniques ... Sannikumar Patel; Nolan, Brian; Hofmann, Markus. - : Zenodo, 2017 BASE Show details 17 If You Don't Have Valence, Ask Your Neighbor: Evaluation of Neutral Words as a Function of Affective Semantic Associates Kuhlmann, Michael; Hofmann, Markus J.; Jacobs, Arthur M.. - : Frontiers Media S.A., 2017 BASE Show details 18 Mixing positive and negative valence ... : Affective-semantic integration of bivalent words ... Kuhlmann, Michael; Hofmann, Markus; Briesemeister, Benny. - : Freie Universität Berlin, 2016 BASE Show details 19 Slower Perception Followed by Faster Lexical Decision in Longer Words ... : A Diffusion Model Analysis ... Oganian, Yulia; Froehlich, Eva; Schlickeiser, Ulrike. - : Freie Universität Berlin, 2016 BASE Show details 20 10 years of BAWLing into affective and aesthetic processes in reading: what are the echoes? ... Jacobs, Arthur M.; Vö, Melissa L.-H.; Briesemeister, Benny B.. - : Freie Universität Berlin, 2015 BASE Show details Page: 1 2

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