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Found 6 papers, 1 papers with code
A Protocol for Intelligible Interaction Between Agents That Learn and Explain
In this paper we view the interaction between humans and ML systems within the broader context of interaction between agents capable of learning and explanation.
One-way Explainability Isn't The Message
We propose operational principles -- we call them Intelligibility Axioms -- to guide the design of a collaborative decision-support system.
Automatic Speech Summarisation: A Scoping Review
We also discuss the strengths and weaknesses of these different methods and speech features.
Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports
Bayesian modelling and statistical text analysis rely on informed probability priors to encourage good solutions.
Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations
Background: Studies examining how sentiment on social media varies depending on timing and location appear to produce inconsistent results, making it hard to design systems that use sentiment to detect localized events for public health applications.
Unreported links between trial registrations and published articles were identified using document similarity measures in a cross-sectional analysis of ClinicalTrials.gov
Performance was measured by the median rank of matching articles, and the proportion of unreported links that could be found by screening ranked candidate articles in order.
Information Retrieval H.2.8; H.3.3; J.3
