no code implementations • 6 Oct 2022 • Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli
We incorporate auxiliary covariates among test-level covariates in a deep Black-Box framework controlling FDR (named as NeurT-FDR) which boosts statistical power and controls FDR for multiple-hypothesis testing.
no code implementations • 3 Oct 2022 • Jiaxin Pei, Vítor Silva, Maarten Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
We propose MINT, a new Multilingual INTimacy analysis dataset covering 13, 372 tweets in 10 languages including English, French, Spanish, Italian, Portuguese, Korean, Dutch, Chinese, Hindi, and Arabic.
no code implementations • COLING 2022 • Dimosthenis Antypas, Asahi Ushio, Jose Camacho-Collados, Leonardo Neves, Vítor Silva, Francesco Barbieri
Social media platforms host discussions about a wide variety of topics that arise everyday.
2 code implementations • 24 Jan 2021 • Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli
Controlling false discovery rate (FDR) while leveraging the side information of multiple hypothesis testing is an emerging research topic in modern data science.