Results 71 to 80 of about 52,458 (341)
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Photothermal‐Activated Antibacterial Amyloid‐Polyphenol‐Iron Hydrogels for Synergistic Wound Healing
We report a thermally triggered supramolecular hydrogel (LTFe) formed by Fe3+ and tannic acid on lysozyme amyloid fibrils. Fe3+ enables rapid gelation and photothermal transduction with an efficiency of 88.56%. The LTFe hydrogel exhibits excellent biocompatibility, potent antibacterial activity against E. coli and S.
Di Wu +8 more
wiley +1 more source
Generating Natural Language Inference Chains
The ability to reason with natural language is a fundamental prerequisite for many NLP tasks such as information extraction, machine translation and question answering. To quantify this ability, systems are commonly tested whether they can recognize textual entailment, i.e., whether one sentence can be inferred from another one.
Vladyslav Kolesnyk +2 more
openaire +2 more sources
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation [PDF]
Nanjiang Jiang +2 more
openalex +1 more source
Enhancing the Interpretability of NLI Models Using LLMs and Active Learning Algorithms
In the field of Natural Language Inference (NLI), model interpretability remains an urgent and unresolved challenge. Existing interpretability-oriented annotated datasets are highly limited, and manually constructing natural language explanations is both
Qi Wang, Junqiang Liu
doaj +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
SciNLI: A Corpus for Natural Language Inference on Scientific Text [PDF]
Mobashir Sadat, Cornelia Caragea
openalex +1 more source
A corpus-based connectionist architecture for large-scale natural language parsing
We describe a deterministic shift-reduce parsing model that combines the advantages of connectionism with those of traditional symbolic models for parsing realistic sub-domains of natural language.
Palmer-Brown, D, Tepper, JA, Powell, HM
core +1 more source
Identifying inherent disagreement in natural language inference
Natural language inference (NLI) is the task of determining whether a piece of text is entailed, contradicted by or unrelated to another piece of text. In this paper, we investigate how to tease systematic inferences (i.e., items for which people agree ...
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies +2 more
core +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source

