One of the greatest puzzles of all time is how understanding arises from...
Multi-label text classification (MLC) is a challenging task in settings ...
Standard methods for multi-label text classification largely rely on
enc...
Large-scale pretrained language models (LMs) are said to “lack the abili...
Recent advances in image captioning have focused on scaling the data and...
Online conversations can sometimes take a turn for the worse, either due...
Some interpersonal verbs can implicitly attribute causality to either th...
News articles, image captions, product reviews and many other texts ment...
Deep neural models have repeatedly proved excellent at memorizing surfac...
Many natural languages assign grammatical gender also to inanimate nouns...
The task of bilingual dictionary induction (BDI) is commonly used for
in...
Parsers are available for only a handful of the world's languages, since...
The study of linguistic typology is rooted in the implications we find
b...
In the Principles and Parameters framework, the structural features of
l...
This paper documents the Team Copenhagen system which placed first in th...
This paper presents a challenge to the community: Generative adversarial...
Character language models have access to surface morphological patterns,...
Most recent approaches to bilingual dictionary induction find a linear
a...
We introduce a novel discriminative latent-variable model for the task o...