Contextuality is a feature of quantum correlations. It is crucial from a foundational
perspective as a non-classical phenomenon, and from an applied perspective as a resource …

Psycholinguistic experiments reveal that efficiency of human language use is founded on
predictions at both syntactic and lexical levels. Previous models of human prediction …

Lexical ambiguity is a significant and pervasive challenge in Neural Machine Translation
(NMT), with many state-of-the-art (SOTA) NMT systems struggling to handle polysemous …

Sheaves are mathematical objects consisting of a base which constitutes a topological
space and the data associated with each open set thereof, eg continuous functions defined …

Sheaves are mathematical objects that describe the globally compatible data associated
with open sets of a topological space. Original examples of sheaves were continuous …

Formal languages are essential for computer programming and are constructed to be easily
processed by computers. In contrast, natural languages are much more challenging and …

Ambiguities in natural language give rise to probability distributions over interpretations. The
distributions are often over multiple ambiguous words at a time; a multiplicity which makes …

Ambiguities of natural language do not preclude us from using it and context helps in getting
ideas across. They, nonetheless, pose a key challenge to the development of competent …

Prediction and reanalysis are considered two key processes that underly humans' capacity
to comprehend language in real time. Computational models capture it using Large …

Contextuality is a distinguishing feature of quantum mechanics and there is growing
evidence that it is a necessary condition for quantum advantage. In order to make use of it …