Gestures are integral components of face-to-face communication. They unf...
Recent advances of powerful Language Models have allowed Natural Languag...
Dialogue participants may have varying levels of knowledge about the top...
We propose using automatically generated natural language definitions of...
In Natural Language Generation (NLG) tasks, for any input, multiple
comm...
Calibration is a popular framework to evaluate whether a classifier know...
Speakers repeat constructions frequently in dialogue. Due to their pecul...
We investigate the extent to which modern, neural language models are
su...
Cognitive and social traits of individuals are reflected in language use...
When speakers describe an image, they tend to look at objects before
men...
Dialogue participants often refer to entities or situations repeatedly w...
This paper presents the first unsupervised approach to lexical semantic
...
Information about individuals can help to better understand what they sa...
This work aims at modeling how the meaning of gradable adjectives of siz...
We study the issue of catastrophic forgetting in the context of neural
m...
This paper introduces the PhotoBook dataset, a large-scale collection of...
The multimodal models used in the emerging field at the intersection of
...
Stylistic variation is critical to render the utterances generated by
co...
We are interested in understanding how the ability to ground language in...
We investigate diachronic meaning shift that takes place in short period...
We investigate how encoder-decoder models trained on a synthetic dataset...
We introduce a framework for quantifying semantic variation of common wo...
We investigate the birth and diffusion of lexical innovations in a large...
Our goal is to explore how the abilities brought in by a dialogue manage...
As research on hate speech becomes more and more relevant every day, mos...
We introduce LAMBADA, a dataset to evaluate the capabilities of computat...