Semantic projection recovers rich human knowledge of multiple object features from word embeddings
Nature Human Behavior, 2022. [All Versions]. [Preprint]. How is knowledge about word meaning represented in the mental lexicon? Current computational models infer word meanings from lexical co-occurrence patterns. They learn to represent words as vectors in a multidimensional…
- from
- AGI & CoCoSci
- added
- 2026-10-10
- likes
- 0
similar
-
Natural speech reveals the semantic maps that tile human cerebral cortex nature.com
Nature, 2016. [All Versions]. [Preprint]. [Code & Tutorial]. The meaning of language is represented in regions of the cerebral cortex collectively known as the ‘semantic system’. However, little of the semantic system has been mapped comprehensively, and the semantic…
-
Shared computational principles for language processing in humans and deep language models nature.com
Nature Neuroscience, 2022. [All Versions].
-
Two Forms of Knowledge Representations in the Human Brain sciencedirect.com
Neuron, 2020. [All Versions]. Illustrating language-derived and sensory-derived knowledge.
-
Rational quantitative attribution of beliefs, desires and percepts in human mentalizing nature.com
Nature Human Behavior, 2017. [All Versions]. [Preprint]. This paper presents a model of core mentalizing computations: inferring jointly an actor’s beliefs, desires and percepts from how they move in the local spatial environment. The proposed Bayesian theory of mind (BToM)…
-
Structured information extraction from scientific text with large language models nature.com
Nature Communications, 2024. [All Versions]. This paper presents a simple approach to joint named entity recognition and relation extraction and demonstrate how pretrained large language models can be fine-tuned to extract useful records of complex scientific knowledge. The…
-
Word learning as Bayesian inference psycnet.apa.org
Psychological Review, 2007. [All Versions]. [Preprint]. The authors present a Bayesian framework for understanding how adults and children learn the meanings of words. The theory explains how learners can generalize meaningfully from just one or a few positive examples of a…
AGI & CoCoSci › Papers > Concepts > Human Concept Representation: “Nature Human Behavior, 2022. [All Versions]. [Preprint]. How is knowledge about word meaning represented in the mental lexicon? Current computational models infer word meanings from lexical co-occurrence patterns. They learn to represent words as vectors in a multidimensional…”