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Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
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Activated Epithelial FGF8 Signaling Induces Fused Supernumerary Incisors ...
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Activated Epithelial FGF8 Signaling Induces Fused Supernumerary Incisors ...
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A translated volume and its many covers: A Diachronic, Social-Semiotic Approach to the Study of Translated Book Covers
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Li, L. - : Bloomsbury, 2021. : London and New York, 2021
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Study of central exclusive [Image: see text] production in proton-proton collisions at [Formula: see text] and 13TeV
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In: Eur Phys J C Part Fields (2020)
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The role of the precuneus and posterior cingulate cortex in the neural routes to action
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Jointly Learning Entity and Relation Representations for Entity Alignment
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Demographic inference and representative population estimates from multilingual social media data
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Abstract:
Social media provide access to behavioural data at an unprecedented scale and granularity. However, using these data to understand phenomena in a broader population is difficult due to their non-representativeness and the bias of statistical inference tools towards dominant languages and groups. While demographic attribute inference could be used to mitigate such bias, current techniques are almost entirely monolingual and fail to work in a global environment. We address these challenges by combining multilingual demographic inference with post-stratification to create a more representative population sample. To learn demographic attributes, we create a new multimodal deep neural architecture for joint classification of age, gender, and organization-status of social media users that operates in 32 languages. This method substantially outperforms current state of the art while also reducing algorithmic bias. To correct for sampling biases, we propose fully interpretable multilevel regression methods that estimate inclusion probabilities from inferred joint population counts and ground-truth population counts. In a large experiment over multilingual heterogeneous European regions, we show that our demographic inference and bias correction together allow for more accurate estimates of populations and make a significant step towards representative social sensing in downstream applications with multilingual social media.
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Keyword:
deep learning; demographics; inclusion probabilities; latent attribute inference; multilingual; post-stratification; social media
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URL: https://doi.org/10.1145/3308558.3313684
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Synthetically Supervised Feature Learning for Scene Text Recognition
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Liu, Yang; Wang, Z; Jin, H. - : Springer International Publishing, 2018. : https://doi.org/10.1007/978-3-030-01228-1, 2018. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018
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Search for dark matter produced in association with heavy-flavor quark pairs in proton-proton collisions at [Formula: see text]
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Altered White Matter Integrity in Adolescents with Prelingual Deafness: A High-Resolution Tract-Based Spatial Statistics Imaging Study
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In: AJNR Am J Neuroradiol (2013)
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Using a Dynamic Neural Field Model to Explore a Direct Collicular Inhibition Account of Inhibition of Return
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The development of a fuzzy expert system to help top decision makers in political and investment domains
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Alshayji, Sameera. - : Brunel University, School of Information Systems, Computing and Mathematics, 2012
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Kernel Regression Framework for Machine Translation: UCL System Description for WMT 2008 Shared Translation Task
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In: Presented at: The Third ACL Workshop on Statistical Machine Translation. (2008) (2008)
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