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arXiv 0812.3070cs.CLcs.AIphysics.data-anphysics.soc-ph

A Computational Model to Disentangle Semantic Information Embedded in Word Association Norms

Universitat Rovira i Virgili(罗维拉-威尔吉利大学)

J. Borge, A. Arenas

英文摘要:

Two well-known databases of semantic relationships between pairs of words used in psycholinguistics, feature-based and association-based, are studied as complex networks. We propose an algorithm to disentangle feature based relationships from free association semantic networks. The algorithm uses the rich topology of the free association semantic network to produce a new set of relationships between words similar to those observed in feature production norms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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