Associative thinking at the core of creativity
Creativity has long been thought to involve associative processes in memory: connecting
concepts to form ideas, inventions, and artworks. However, associative thinking has been …
concepts to form ideas, inventions, and artworks. However, associative thinking has been …
Evolution of semantic similarity—a survey
D Chandrasekaran, V Mago - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Estimating the semantic similarity between text data is one of the challenging and open
research problems in the field of Natural Language Processing (NLP). The versatility of …
research problems in the field of Natural Language Processing (NLP). The versatility of …
Semantic memory: A review of methods, models, and current challenges
AA Kumar - Psychonomic Bulletin & Review, 2021 - Springer
Adult semantic memory has been traditionally conceptualized as a relatively static memory
system that consists of knowledge about the world, concepts, and symbols. Considerable …
system that consists of knowledge about the world, concepts, and symbols. Considerable …
The “Small World of Words” English word association norms for over 12,000 cue words
Word associations have been used widely in psychology, but the validity of their application
strongly depends on the number of cues included in the study and the extent to which they …
strongly depends on the number of cues included in the study and the extent to which they …
Simlex-999: Evaluating semantic models with (genuine) similarity estimation
We present SimLex-999, a gold standard resource for evaluating distributional semantic
models that improves on existing resources in several important ways. First, in contrast to …
models that improves on existing resources in several important ways. First, in contrast to …
Cognitive network science: A review of research on cognition through the lens of network representations, processes, and dynamics
Network science provides a set of quantitative methods to investigate complex systems,
including human cognition. Although cognitive theories in different domains are strongly …
including human cognition. Although cognitive theories in different domains are strongly …
Multilink: A computational model for bilingual word recognition and word translation
TON Dijkstra, A Wahl, F Buytenhuijs… - Bilingualism …, 2019 - cambridge.org
The computational BIA+ model (Dijkstra & Van Heuven, 2002) has provided a useful
account for bilingual word recognition, while the verbal (pre-quantitative) RHM (Kroll & …
account for bilingual word recognition, while the verbal (pre-quantitative) RHM (Kroll & …
[HTML][HTML] A survey of word embeddings for clinical text
Representing words as numerical vectors based on the contexts in which they appear has
become the de facto method of analyzing text with machine learning. In this paper, we …
become the de facto method of analyzing text with machine learning. In this paper, we …
Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting: A review and empirical validation
Recent developments in distributional semantics (Mikolov, Chen, Corrado, & Dean, 2013;
Mikolov, Sutskever, Chen, Corrado, & Dean, 2013) include a new class of prediction-based …
Mikolov, Sutskever, Chen, Corrado, & Dean, 2013) include a new class of prediction-based …
The tool for the automatic analysis of lexical sophistication (TAALES): Version 2.0
This study introduces the second release of the Tool for the Automatic Analysis of Lexical
Sophistication (TAALES 2.0), a freely available and easy-to-use text analysis tool. TAALES …
Sophistication (TAALES 2.0), a freely available and easy-to-use text analysis tool. TAALES …