4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Pseudo-Label Training and Model Inertia in Neural Machine Translation
Benjamin Hsu, Anna Currey, Xing Niu +2
Like many other machine learning applications, neural machine translation (NMT) benefits from over-parameterized deep neural models. However, these models have been observed to be…
cs.CL2015
From Visual Attributes to Adjectives through Decompositional Distributional Semantics
Angeliki Lazaridou, Georgiana Dinu, Adam Liska +1
As automated image analysis progresses, there is increasing interest in richer linguistic annotation of pictures, with attributes of objects (e.g., furry, brown...) attracting most…
cs.CL2014★ 4 cited
Improving zero-shot learning by mitigating the hubness problem
Georgiana Dinu, Angeliki Lazaridou, Marco Baroni
The zero-shot paradigm exploits vector-based word representations extracted from text corpora with unsupervised methods to learn general mapping functions from other feature spaces…