Results 41 to 50 of about 213,847 (282)
Please note that following publication of the original article [1], two errors have been flagged by the authors. Firstly, the article has been processed with the wrong article type: it is not a ‘Review’, but rather a ‘Research article’.
Ahmed D. Alatawi +3 more
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We demonstrate that a state-of-the-art parser can be built using only a lexical tagging model and a deterministic grammar, with no explicit model of bi-lexical dependencies. Instead, all dependencies are implicitly encoded in an LSTM supertagger that assigns CCG lexical categories.
Mike Lewis, Kenton Lee, Luke Zettlemoyer
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Genetics of nodulation in Aeschynomene evenia uncovers mechanisms of the rhizobium–legume symbiosis
The establishment of symbiotic interaction between Aeschynomene evenia and photosynthetic bradyrhizobia doesn’t involve the canonical Nod factors and infection threads. Here, the authors assemble the draft genome of A. evenia and identify a receptor-like
Johan Quilbé +31 more
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CO2 gas hydrate as an innovative leavening agent for baked goods
In the presented research, the use and technical realization of CO2 gas hydrate (GH) as a novel baking agent is investigated. GH are ice-like structures where one mole of hydrate typically consists of about 85% water and 15% gas.
Yvonne Frühling +7 more
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Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks [PDF]
Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence ...
Manning, Christopher D. +2 more
core +1 more source
Background Antenatal care (ANC) is crucial for the health of the mother and unborn child as it delivers highly effective health interventions that can prevent maternal and newborn morbidity and mortality.
Elizabeth Kasagama +2 more
doaj +1 more source
Explaining and Interpreting LSTMs [PDF]
While neural networks have acted as a strong unifying force in the design of modern AI systems, the neural network architectures themselves remain highly heterogeneous due to the variety of tasks to be solved. In this chapter, we explore how to adapt the Layer-wise Relevance Propagation (LRP) technique used for explaining the predictions of feed ...
Leila Arras +7 more
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Background The assessment of hospital efficiency is attracting interest worldwide, particularly in Gulf Cooperation Council (GCC) countries. The objective of this study was to review the literature on public hospital efficiency and synthesise the ...
Ahmed Alatawi +3 more
doaj +1 more source
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks perform inference of high-dimensional dynamical systems in their reduced ...
Byeon, Wonmin +4 more
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Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists [PDF]
Language Models (LMs) are important components in several Natural Language Processing systems. Recurrent Neural Network LMs composed of LSTM units, especially those augmented with an external memory, have achieved state-of-the-art results. However, these
Kelleher, John D., Salton, Giancarlo D.
core +3 more sources

