← Search

Gabriel Bernier-Colborne

2 accepted papers

2024

Methods, Applications, and Directions of Learning-to-Rank in NLP Research

NAACL 2024findings

Learning-to-rank (LTR) algorithms aim to order a set of items according to some criteria. They are at the core of applications such as web search and social media recommendations, and are an area of rapidly increasing interest, with the rise of large language models (LLMs) and the widespread impact…

2020

Human or Neural Translation?

COLING 2020main

Deep neural models tremendously improved machine translation. In this context, we investigate whether distinguishing machine from human translations is still feasible. We trained and applied 18 classifiers under two settings: a monolingual task, in which the classifier only looks at the translation;…