In recent years, many NLP studies have focused solely on performance
imp...
“Theory of Mind" (ToM) is the ability to understand human thinking and
d...
When applied to Image-to-text models, interpretability methods often pro...
Current captioning datasets, focus on object-centric captions, describin...
Image captioning models tend to describe images in an object-centric way...
Previous work on Neural Referring Expression Generation (REG) all uses
W...
We introduce a corpus of short texts in Mandarin, in which quantified
ex...
A key aim of science is explanation, yet the idea of explaining language...
Word embeddings have advanced the state of the art in NLP across numerou...
Teaching logic effectively requires an understanding of the factors whic...
In recent years, neural models have often outperformed rule-based and cl...
Images can be described in terms of the objects they contain, or in term...
Despite achieving encouraging results, neural Referring Expression Gener...
Referring expression generation (REG) algorithms offer computational mod...
Recent years have seen a number of proposals for performing Natural Lang...
Recent years have seen a number of proposals for performing Natural Lang...
We present a data resource which can be useful for research purposes on
...
We present a novel heuristic approach that defines fuzzy geographical
de...