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Formalization of AMR Inference via Hybrid Logic Tableaux ...
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| 2 |
Observation of new excited ${B} ^0_{s} $ states
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-03010999 ; Eur.Phys.J.C, 2021, 81 (7), pp.601. ⟨10.1140/epjc/s10052-021-09305-3⟩ (2021)
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“Writing nutritionistically”: A critical discourse analysis of lay people’s digital correspondence with the Swedish Food Agency ...
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| 7 |
“Writing nutritionistically”: A critical discourse analysis of lay people’s digital correspondence with the Swedish Food Agency ...
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| 8 |
About the secrecy of male societies - 2 ; Sur le secret des sociétés masculines - 2
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In: ED8-08 (2021)
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About the secrecy of male societies ; Sur le secret des sociétés masculines
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In: ED8-07 (2021)
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| 10 |
Examining Ideologies of Homogeneity and Pluralism in the United States.
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In: Student Research and Creative Activity Fair (2021)
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| 11 |
Emotional Intelligence, Social Networking Skills and Online Counselling Communication Effectiveness Among Students of OAU, Ile-Ife, Nigeria
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In: African Journal of Teacher Education; Vol. 10 No. 2 (2021); 37-52 ; 1916-7822 (2021)
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| 15 |
Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry.
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In: Molecular psychiatry, vol 25, iss 10 (2020)
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| 16 |
Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry.
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In: Molecular psychiatry, vol 25, iss 10 (2020)
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| 17 |
Reevaluating Adversarial Examples in Natural Language; Political Implications of Near Human-Level Natural Language Processing Models ...
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Abstract:
Machine learning models have been shown to be vulnerable to being fooled by small, targeted changes to images and text. My research is addressing the lack of standardization in evaluation of adversarial attacks on natural language processing (NLP) models which analyze text. Adversarial attacks are useful for probing the blind spots of NLP models. However, without consistent methods of evaluation, it is difficult to tell which attacks are most effective and whether attacks are even successful. We are developing an open-source library to separate changes in attack methodology from changes in evaluation of attack success. This will allow NLP researchers to separate the effects of changes in each of these respective areas. As NLP models improve, they are able to be used more effectively for both beneficial and malicious purposes. One common concern is automating the generation of fake news. Additionally, the NLP models may be biased and are often only available in select languages. There are several STS theories ...
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Keyword:
Adversarial Examples; Machine Learning; Natural Language Processing; NLP; Techno-politics
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URL: https://dx.doi.org/10.18130/v3-sxw2-yk14
https://libraetd.lib.virginia.edu/public_view/79407x83t
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| 18 |
What Trans* Folks Talk About When They Talk About Voice: Learning About Voice Feminization on Reddit
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