We improve the informativeness of models for conditional text generation using techniques
from computational pragmatics. These techniques formulate language production as a game …

The need for grounding in language understanding is an active research topic. Previous
work has suggested that color perception and color language appear as a suitable test bed …

Achieving visually consistent colors across multiple images is important when images are
used in photo albums, websites, and brochures. Unfortunately, only a handful of methods …

We extend the classic Referring Expressions Generation task by considering zero pronouns
in “pro-drop” languages such as Chinese, modelling their use by means of the Bayesian …

Natural language generation (NLG) systems are commonly evaluated using n-gram overlap
measures (eg BLEU, ROUGE). These measures do not directly capture semantics or …

The need for grounding in language understanding is an active research topic. Previous
work has suggested that color perception and color language appear as a suitable test bed …

Speakers' referential expressions often depart from communicative ideals in ways that help
illuminate the nature of pragmatic language use. Patterns of overmodification, in which a …

When a person says something that has multiple possible interpretations, which
interpretation stands out as the most likely intended meaning often depends on context …

In multi-image processing, leveraging semantic information is essential for content-aware
operations and ensuring consistency across images. However, this presents challenges in …