Results 151 to 160 of about 571 (258)

A semantic method for textual entailment

, 2008
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and lexical models with some success. Here, we further explore this problem, this time using the world knowledge captured in large semantic graphs such as ...
Garzon, Max, Rus, Vasile, Neel, Andrew
core  

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

The Insight-Inference Loop: Efficient Text Classification via Natural Language Inference and Threshold-Tuning. [PDF]

Sociol Methods Res
Chausson S, Fourcade M, Harding DJ, Ross B, Renard G.   +4 more
europepmc   +1 more source

Building a Discourse-Argument Hybrid System for Vietnamese Why-Question Answering. [PDF]

Comput Intell Neurosci, 2021
Nguyen CT, Nguyen DT.
europepmc   +1 more source

The Fifth PASCAL Recognizing Textual Entailment Challenge

, 2009
This paper presents the Fifth Recognizing Textual Entailment Challenge (RTE-5). Following the positive experience of the last campaign, RTE-5 has been proposed for the second time as a track at the Text Analysis Conference (TAC). The structure of the RTE-
Dagan, Ido Kalman, Magnini, Bernardo, Hoa Dang, Bentivogli, Luisa, Giampiccolo, Danilo   +4 more
core  

All‐Flex Plasma Patch for In Vivo Delivery of Reactive Species

Advanced Science, EarlyView.
A fully flexible plasma patch enables stable, conformal treatment on complex biological surfaces and enhances transdermal delivery of reactive species. This platform achieves significant tumor suppression in vivo and reveals coordinated regulation of calcium signaling, metabolism, and programmed cell death, providing a promising strategy for safe and ...
Luxiang Zhao, Abulaihaiti Tuergong, Hanshu Yang, Shuang Xue, An Yan, Mingzhen Wang, Weilong Song, Wenzhe Si, Ruixue Wang   +8 more
wiley   +1 more source

A large language model for electronic health records. [PDF]

NPJ Digit Med, 2022
Yang X, Chen A, PourNejatian N, Shin HC, Smith KE, Parisien C, Compas C, Martin C, Costa AB, Flores MG, Zhang Y, Magoc T, Harle CA, Lipori G, Mitchell DA, Hogan WR, Shenkman EA, Bian J, Wu Y.   +18 more
europepmc   +1 more source

Learning Textual Entailment on a Distance Feature Space

, 2008
. Textual Entailment recognition is a very difficult task as it is one of the fundamental problems in any semantic theory of natural language. As in many other NLP tasks, Machine Learning may offer important tools to better understand the problem.
Maria Teresa Pazienza, Marco Pennacchiotti, Fabio Massimo Zanzotto   +2 more
core  

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

Reading the climate room through unsupervised analysis of unfiltered climate perspectives. [PDF]

Sci Rep
Sweeney L, Mehrotra R, Saintraint F, Brennan RA, Suiter J.   +4 more
europepmc   +1 more source