Surprisal theory posits that the cognitive effort required to comprehend a word is determined by its contextual predictability, quantified as surprisal. Traditionally, surprisal theory treats words as distinct entities, overlooking any potential similarity between them.
Oct 23, 2024
Nov 12, 2024 · Surprisal theory posits that the cognitive effort required to comprehend a word is determined by its contextual predictability, ...
Towards a Similarity-adjusted Surprisal Theory - ACL Anthology
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Surprisal theory posits that the cognitive effort required to comprehend a word is determined by its contextual predictability, quantified assurprisal.
Oct 23, 2024 · Similarity-adjusted surprisal aligns with information value when considering graded similarities and reduces to standard surprisal when words ...
Experimental results with reading time data indicate that similarity-adjusted surprisal adds predictive power beyond standard surprisal for certain datasets ...
Oct 26, 2024 · Similarity-adjusted surprisal aligns with information value when considering graded similarities and reduces to standard surprisal when words ...
Oct 23, 2024 · The paper proposes a new theory called "Similarity-adjusted Surprisal" to explain how people process and understand language.
EMNLP paper has plagiarized my work. : r/deeplearning - Reddit
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Oct 27, 2024 · This paper presents a weighting algorithm, z(w<t,wt,w′), which adjusts surprisal based on the (semantic) similarity between wt and other words w′ in the ...
Oct 24, 2024 · Towards a Similarity-adjusted Surprisal Theory. https://arxiv.org/abs/2410.17676 · 12:38 PM · Oct 24, 2024.
This paper introduces similarity-adjusted surprisal, a novel measure of cognitive effort in language comprehension that accounts for word similarities, bridging ...