Results 151 to 160 of about 2,800,842 (301)

The TUNA-REG challenge 2009 : overview and evaluation results [PDF]

, 2009
The TUNA-REG’09 Challenge was one of the shared-task evaluation competitions at Generation Challenges 2009. TUNAREG’ 09 used data from the TUNA Corpus of paired representations of entities and human-authored referring expressions.
12th European Workshop on Natural Language Generation, Belz, Anja, Gatt, Albert, Kow, Eric   +3 more
core  

Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative

Advanced Engineering Materials, EarlyView.
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier, Celso Ricardo Caldeira Rêgo, Han Lin Mai, Ujjal Saikia, Osamu Waseda, Markus Apel, Felix Arendt, Alexander Aschemann, Bernd Bayerlein, Robert Courant, Gordian Dziwis, Florian Fuchs, Ulrich Giese, Kurt Junghanns, Mohamed Kamal, Lukas Koschmieder, Sebastian Leineweber, Marc Luger, Marco Lukas, Jürgen Maas, Jana Mertens, Björn Mieller, Ludger Overmeyer, Norbert Pirch, Jan Reimann, Sebastian Schröck, Philipp Schulze, Jörg Schuster, Alexander Seidel, Oleg Shchyglo, Marek Sierka, Frank Silze, Simon Stier, Marvin Tegeler, Jörg F. Unger, Matthias Weber, Tilmann Hickel, Jörg Schaarschmidt   +37 more
wiley   +1 more source

Scalable Manufacturing of Radiation‐Tolerant Potentiometric Electrodes: A Systematic Transition from Laboratory to Semiautomated Fabrication

Advanced Engineering Materials, EarlyView.
Laboratory protocols for producing thin‐film pH electrodes for sterilized single‐use technologies have been successfully developed into a semiautomated workflow, with higher throughput and precision of membrane thickness. Accuracies are within 0.05 pH units versus ground truth, and uncertainty analysis reveals the largest sources of error to be derived
Bingyuan Zhao, Aiganym Yermembetova, Benson Kunhung Tsai, Jialong Huang, Alexander Wei   +4 more
wiley   +1 more source

Enhancing Robot Task Planning and Execution through Multi-Layer Large Language Models

Sensors
Large language models have found utility in the domain of robot task planning and task decomposition. Nevertheless, the direct application of these models for instructing robots in task execution is not without its challenges.
Zhirong Luan, Yujun Lai, Rundong Huang, Shuanghao Bai, Yuedi Zhang, Haoran Zhang, Qian Wang   +6 more
doaj   +1 more source

A Primer on Neural Network Models for Natural Language Processing [PDF]

arXiv, 2015
Over the past few years, neural networks have re-emerged as powerful machine-learning models, yielding state-of-the-art results in fields such as image recognition and speech processing. More recently, neural network models started to be applied also to textual natural language signals, again with very promising results.
arxiv  

The complexity of natural language mediators and its relation to paired-associate learning [PDF]

, 1967
William E. Montague, Alexander J. Wearing   +1 more
openalex   +1 more source

Amplification‐Free, Sequencing‐Free, Detection of Viral RNAs with Variant Specification by Discrete Nanocounting

Advanced Functional Materials, EarlyView.
Integrating selective RNA shortcut, targeted gene isolation, and micro‐arrayed nanoimaging, the NanoPick‐array platform excels in detecting severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) at just 60 copies µL−1 and accurately differentiating variants at the single‐nucleotide level. It ensures 100% accuracy for samples with cycle threshold (
Zixun Wang, Xi Zhao, Wan‐Mui Chan, Xianglin Ji, Linfeng Huang, Xi Xie, Wei Li, Wenjun Zhang, Kelvin Kai‐Wang To, Peng Shi   +9 more
wiley   +1 more source

Integrating Non-Fourier and AST-Structural Relative Position Representations Into Transformer-Based Model for Source Code Summarization

IEEE Access
Source code summaries play a crucial role in helping programmers comprehend the behavior of source code functions. In recent deep-learning based approaches for Source Code Summarization, there has been a growing focus on Transformer-based models.
Hsiang-Mei Liang, Chin-Yu Huang
doaj   +1 more source

Retention as a function of natural language mediation and of time [PDF]

, 1969
Wiliam Ray Smith
openalex   +1 more source

Exploring Dipolar Dynamics and Ionic Transport in Metal‐Organic Frameworks: Experimental and Theoretical Insights

Advanced Functional Materials, EarlyView.
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund, Arthur Schulz, Peter Lunkenheimer, Maryana Kraft, Thomas Bergler, Harald Oberhofer, Dirk Volkmer   +6 more
wiley   +1 more source