Gender bias in Language and Vision datasets and models has the potential...
We compare the 0-shot performance of a neural caption-based image retrie...
It is often posited that more predictable parts of a speaker's meaning t...
Learning words is a challenge for children and neural networks alike.
Ho...
The goal of this work is to segment the objects in an image that are ref...
In neural network models of language, words are commonly represented usi...
Distributional semantics has had enormous empirical success in Computati...
Humans use language to refer to entities in the external world. Motivate...
Distributional semantics provides multi-dimensional, graded, empirically...
We investigate diachronic meaning shift that takes place in short period...
In computational linguistics, a large body of work exists on distributed...
This paper describes our winning contribution to SemEval 2018 Task 4:
Ch...
Reference is a crucial property of language that allows us to connect
li...
One of the most basic functions of language is to refer to objects in a
...
We introduce LAMBADA, a dataset to evaluate the capabilities of computat...