English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We use the Lambek Calculus with soft sub-exponential modalities to model andreason about discourse relations such as anaphora and ellipsis. A semantics forthis logic is obtained by using truncated Fock spaces, developed in ourprevious work. We depict these semantic computations via a new string diagram.The Fock Space semantics has the advantage that its terms are learnable fromlarge corpora of data using machine learning and they can be experimented withon mainstream natural language tasks. Further, and thanks to an existingtranslation from vector spaces to quantum circuits, we can also learn theseterms on quantum computers and their simulators, such as the IBMQ range. Weextend the existing translation to Fock spaces and develop quantum circuitsemantics for discourse relations. We then experiment with the IBMQAerSimulations of these circuits in a definite pronoun resolution task, wherethe highest accuracies were recorded for models when the anaphora was resolved.

A Quantum Natural Language Processing Approach to Pronoun Resolution