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Developments in Sheaf-Theoretic Models of Natural Language Ambiguities
Then, we show how an extension of the natural language processing challenge, known as the Winograd Schema, which involves anaphoric ambiguities can be modelled on the Bell-CHSH scenario with a contextual fraction of 0. 096.
Generalised Winograd Schema and its Contextuality
In this work, we focus on coreference ambiguities and investigate the Winograd Schema Challenge (WSC), a test proposed by Levesque in 2011 to evaluate the intelligence of machines.
A Model of Anaphoric Ambiguities using Sheaf Theoretic Quantum-like Contextuality and BERT
Ambiguities of natural language do not preclude us from using it and context helps in getting ideas across.
A Quantum Natural Language Processing Approach to Pronoun Resolution
We use the Lambek Calculus with soft sub-exponential modalities to model and reason about discourse relations such as anaphora and ellipsis.
