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Public values in public R&D through natural language processing. [PDF]

Sci Rep
Jang H, Roh T, Yoon B.
europepmc   +1 more source

Automating the Analysis and Improvement of Dynamic Programming Algorithms with Applications to Natural Language Processing

Tim Vieira
openalex   +1 more source

Natural Language Processing for Automated Extraction of Continuous Glucose Monitoring Data. [PDF]

Diabetes Care
Zheng Y, Song Y, Iturrate E, Wu B, Zweig S, Johnson SB.   +5 more
europepmc   +1 more source

Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis. [PDF]

JMIR Infodemiology
Germani F, Spitale G, Fritschi F, Merten S, Biller-Andorno N.   +4 more
europepmc   +1 more source

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Gaussian Processes for Natural Language Processing

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials, 2014
Gaussian Processes (GPs) are a powerful modelling framework incorporating kernels and Bayesian inference, and are recognised as stateof-the-art for many machine learning tasks. Despite this, GPs have seen few applications in natural language processing (notwithstanding several recent papers by the authors).
Trevor Cohn, Daniel Preotiuc-Pietro, Neil D. Lawrence   +2 more
openaire   +1 more source