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The proof and measurement of association between two things.

C. Spearman
- 01 Jan 1904 - 
- Vol. 15, Iss: 1, pp 72-101
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This article is published in American Journal of Psychology.The article was published on 1904-01-01 and is currently open access. It has received 4255 citations till now. The article focuses on the topics: Association (object-oriented programming).

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Enriching Word Vectors with Subword Information

TL;DR: This paper proposed a new approach based on skip-gram model, where each word is represented as a bag of character n-grams, words being represented as the sum of these representations, allowing to train models on large corpora quickly and allowing to compute word representations for words that did not appear in the training data.
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A basic introduction to fixed‐effect and random‐effects models for meta‐analysis

TL;DR: This paper explains the key assumptions of each model, and outlines the differences between the models, to conclude with a discussion of factors to consider when choosing between the two models.
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Enriching Word Vectors with Subword Information

TL;DR: A new approach based on the skipgram model, where each word is represented as a bag of character n-grams, with words being represented as the sum of these representations, which achieves state-of-the-art performance on word similarity and analogy tasks.
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Multivariate analysis with latent variables: causal modeling

TL;DR: In this article, the authors present a model of attitude behavior relations in the context of models of attitude-behavior relations, including structural, structural, and path diagrams, and model specification and research design.