Search Results for author: Miguel Luengo-Oroz

Found 6 papers, 2 papers with code

Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19

no code implementations11 Aug 2021 Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Joseph Aylett-Bullock, Miguel Luengo-Oroz

Natural language processing (NLP) plays a significant role in tools for the COVID-19 pandemic response, from detecting misinformation on social media to helping to provide accurate clinical information or summarizing scientific research.

Misinformation

Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19

no code implementations13 Aug 2020 Alexandra Luccioni, Joseph Bullock, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz

The COVID-19 pandemic has been a major challenge to humanity, with 12. 7 million confirmed cases as of July 13th, 2020 [1].

Mapping the Landscape of Artificial Intelligence Applications against COVID-19

no code implementations25 Mar 2020 Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz

COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million confirmed cases as of August 5, 2020.

Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts

1 code implementation5 Jun 2019 Joseph Bullock, Miguel Luengo-Oroz

This work is aligned with the efforts of the United Nations and other civil society organisations to highlight potential political and societal risks arising through the malicious use of text generation software, and their potential impact on human rights.

Text Generation

Sequence of purchases in credit card data reveal life styles in urban populations

1 code implementation1 Mar 2017 Riccardo Di Clemente, Miguel Luengo-Oroz, Matias Travizano, Sharon Xu, Bapu Vaitla, Marta C. González

In this work, we define a new framework using a text compression technique on the sequences of credit card purchases to detect ubiquitous patterns of collective behavior.

Physics and Society Information Theory Social and Information Networks Information Theory Applications

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