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Found 4 papers, 1 papers with code
Hybrid Semantics for Goal-Directed Natural Language Generation
In particular, we consider using two meaning representations, one based on logical semantics and the other based on distributional semantics.
Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution
As using they/them as personal pronouns becomes increasingly common in English, it is important that coreference resolution systems work as well for individuals who use personal “they” as they do for those who use gendered personal pronouns.
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
In this work, we study the effect of the presence of protected and proxy features on participants' perception of model fairness and their ability to improve demographic parity over an AI alone.
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems
In this work, we study how users interact with QA systems in the absence of sufficient information to assess their predictions.
