6 papers · 1 filter
The First Multilingual Model For The Detection of Suicide Texts
Rodolfo Zevallos, Annika Schoene, John E. Ortega
Suicidal ideation is a serious health problem affecting millions of people worldwide. Social networks provide information about these mental health problems through users' emotiona…
Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language
Annika Marie Schoene, John E. Ortega, Rodolfo Joel Zevallos +1
Recent years have seen a marked increase in research that aims to identify or predict risk, intention or ideation of suicide. The majority of new tasks, datasets, language models a…
Semantic Role Labeling of NomBank Partitives
Adam Meyers, Advait Pravin Savant, John E. Ortega
This article is about Semantic Role Labeling for English partitive nouns (5%/REL of the price/ARG1; The price/ARG1 rose 5 percent/REL) in the NomBank annotated corpus. Several syst…
Is Peer-Reviewing Worth the Effort?
Kenneth Church, Raman Chandrasekar, John E. Ortega +1
How effective is peer-reviewing in identifying important papers? We treat this question as a forecasting task. Can we predict which papers will be highly cited in the future based…
Nollywood: Let's Go to the Movies!
John E. Ortega, Ibrahim Said Ahmad, William Chen
Nollywood, based on the idea of Bollywood from India, is a series of outstanding movies that originate from Nigeria. Unfortunately, while the movies are in English, they are hard t…
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models
Abteen Ebrahimi, Arya D. McCarthy, Arturo Oncevay +5
Large multilingual models have inspired a new class of word alignment methods, which work well for the model's pretraining languages. However, the languages most in need of automat…