Results 171 to 180 of about 52,458 (341)

LEDIR: An Unsupervised Algorithm for Learning Directionality of

open access: yes, 2008
Semantic inference is a core component of many natural language applications. In response, several researchers have developed algorithms for automatically learning inference rules from textual corpora.
Inference Rules
core  

Atomic inference for NLI with generated facts as atoms

open access: yes
With recent advances, neural models can achieve human-level performance on various natural language tasks. However, there are no guarantees that any explanations from these models are faithful, i.e.
Rei, Marek   +4 more
core   +1 more source

Hypothesis Only Baselines in Natural Language Inference

open access: yes, 2018
We propose a hypothesis only baseline for diagnosing Natural Language Inference (NLI). Especially when an NLI dataset assumes inference is occurring based purely on the relationship between a context and a hypothesis, it follows that assessing entailment
Van Durme, Benjamin   +9 more
core   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Convolutional Interaction Network for Natural Language Inference [PDF]

open access: gold, 2018
Jingjing Gong   +4 more
openalex   +1 more source

PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes

open access: yesAdvanced Science, EarlyView.
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li   +10 more
wiley   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference

open access: yesTransactions of the Association for Computational Linguistics, 2022
Bangzheng Li, Wenpeng Yin, Muhao Chen
doaj   +1 more source

Nucleic Acid Therapeutics for “Undruggable” Cancer Targets: Mechanisms, Challenges, and Prospects

open access: yesAdvanced Science, EarlyView.
Nucleic acid therapeutics bypass the structural limitations of conventional drugs by targeting mRNA rather than proteins. This review examines how antisense oligonucleotides, siRNAs, miRNAs, aptamers, and mRNA vaccines intervene against historically undruggable oncoproteins including Ras, MYC, and p53, highlighting mechanistic advances, delivery ...
Feng Xu   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy