Multiply-constrained semantic search in the Remote Associates Test

Smith, Kevin A.; Huber, David E.; Vul, Edward

doi:10.1016/j.cognition.2013.03.001

Cited by 128 publications

(148 citation statements)

References 39 publications

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“…Recent studies examine performance in the RAT from a cognitive search perspective (Gupta et al, 2012; Smith et al, 2013). Smith et al (2013) view the RAT as a multiple constraint problem, in which each cue word indicates a different attribute of the target word.…”

Section: Introductionmentioning

confidence: 99%

“…Smith et al (2013) view the RAT as a multiple constraint problem, in which each cue word indicates a different attribute of the target word. Solving such a multiple constrained problem requires a two stage process: first, a search for a possible solution is conducted and then this candidate solution is tested against all of the constrains of the problem to rate the acceptability of the solution (Smith et al, 2013). Smith et al (2013) found that participants solve RAT problems first by selecting a set of possible answers constrained by a single cue word at a time.…”

Section: Introductionmentioning

confidence: 99%

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Investigating the structure of semantic networks in low and high creative persons

Kenett

Anaki

Faust

2014

Front. Hum. Neurosci.

263

344

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According to Mednick's (1962) theory of individual differences in creativity, creative individuals appear to have a richer and more flexible associative network than less creative individuals. Thus, creative individuals are characterized by “flat” (broader associations) instead of “steep” (few, common associations) associational hierarchies. To study these differences, we implement a novel computational approach to the study of semantic networks, through the analysis of free associations. The core notion of our method is that concepts in the network are related to each other by their association correlations—overlap of similar associative responses (“association clouds”). We began by collecting a large sample of participants who underwent several creativity measurements and used a decision tree approach to divide the sample into low and high creative groups. Next, each group underwent a free association generation paradigm which allowed us to construct and analyze the semantic networks of both groups. Comparison of the semantic memory networks of persons with low creative ability and persons with high creative ability revealed differences between the two networks. The semantic memory network of persons with low creative ability seems to be more rigid, compared to the network of persons with high creative ability, in the sense that it is more spread out and breaks apart into more sub-parts. We discuss how our findings are in accord and extend Mednick's (1962) theory and the feasibility of using network science paradigms to investigate high level cognition.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigating the structure of semantic networks in low and high creative persons

Kenett

Anaki

Faust

2014

Front. Hum. Neurosci.

263

344

View full text Add to dashboard Cite

show abstract

“…Models based on first-order co-occurrence (collocations) outperform models based on vector similarity. This superiority, however, is not validated via a direct comparison: results were obtained by studies with different features and goals (see Rapp (2014) for a review; see Griffiths et al (2007) and Smith et al (2013) for evaluations of models based on Latent Semantic Analysis). A specific feature of successful studies on the multiword association task is that they introduce an element of directionality (Rapp, 2013;Rapp, 2014), which allows a correct implementation of the directionality of the modeled effects (from stimulus to response).…”

Section: Related Workmentioning

confidence: 99%

Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex)

Zock¹,

Rapp²,

Huang³

2014

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“…There is also related work in cognitive science. It often goes under the label of the remote association test, but essentially pursues the same ideas (Smith et al, 2013).…”

Section: Eliminating the Need For Initial Dictionariesmentioning

confidence: 99%

A Methodology for Bilingual Lexicon Extraction from Comparable Corpora

Rapp

2015

Proceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra)

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Dictionary extraction using parallel corpora is well established. However, for many language pairs parallel corpora are a scarce resource which is why in the current work we discuss methods for dictionary extraction from comparable corpora. Hereby the aim is to push the boundaries of current approaches, which typically utilize correlations between co-occurrence patterns across languages, in several ways: 1) Eliminating the need for initial lexicons by using a bootstrapping approach which only requires a few seed translations. 2) Implementing a new approach which first establishes alignments between comparable documents across languages, and then computes cross-lingual alignments between words and multiword-units. 3) Improving the quality of computed word translations by applying an interlingua approach, which, by relying on several pivot languages, allows an effective multi-dimensional cross-check. 4) We investigate that, by looking at foreign citations, language translations can even be derived from a single monolingual text corpus.

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Multiply-constrained semantic search in the Remote Associates Test

Cited by 128 publications

References 39 publications

Investigating the structure of semantic networks in low and high creative persons

Investigating the structure of semantic networks in low and high creative persons

Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex)

A Methodology for Bilingual Lexicon Extraction from Comparable Corpora

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