Results 251 to 260 of about 10,655,437 (309)

Editorial: Semantics and natural language processing in agriculture. [PDF]

Front Artif Intell
Roche M, Drury BM.
europepmc   +1 more source

Uncovering advanced transfer learning strategies for deep neural networks in natural language processing. [PDF]

Sci Rep
Abbassy MM, Ead WM, El-Shora AIA, Aboalndr AM.   +3 more
europepmc   +1 more source

Polymer Concepts in Cellular Function

Advanced Science, EarlyView.
Miao Yu, Shikha Dhiman, Dorothee Dormann, Frauke Gräter, Katja Luck, Friederike Schmid, Andreas Walther, Edward A. Lemke   +7 more
wiley   +1 more source

Large-Scale Assessment of Animal-to-Human Drug Translation Using Natural Language Processing

Doneva SE, Ellendorff TR, Schneider G, Held L, von Wyl V, Simpson TI, Sick B, Ineichen BV.   +7 more
europepmc   +1 more source

Symptom-based phenotype discovery in motor neuron disease using natural language processing of electronic health records

Abdulle Y, Dinu V, Wu J, Kim Y, Budhdeo S, Al Khelfiat A, Yao Z, Tomlinson C, Al-Chalabi A, Wu H, Dobson R, Iacoangeli A.   +11 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