Results 91 to 100 of about 3,861,227 (307)
A dependency-based approach to word contextualization using compositional distributional semantics
Journal of Language Modelling, 2019 We propose a strategy to build the distributional meaning of sentences, which is mainly based on two types of semantic objects: context vectors associated with content words and compositional operations driven by syntactic dependencies. The compositional
Pablo Gamallo
doaj +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Event in Compositional Dynamic Semantics [PDF]
, 2011 16 pages; Logical Aspect of Computational Linguistic, Montpellier : France (2011)
Qian, Sai, Amblard, Maxime
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Advanced Science, EarlyView.Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
Bialgebraic Semantics for Logic Programming [PDF]
Logical Methods in Computer Science, 2015 Bialgebrae provide an abstract framework encompassing the semantics of different kinds of computational models. In this paper we propose a bialgebraic approach to the semantics of logic programming.
Filippo Bonchi, Fabio Zanasi
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Logical Inference on Dependency-based Compositional Semantics
Annual Meeting of the Association for Computational Linguistics, 2014 Dependency-based Compositional Semantics (DCS) is a framework of natural language semantics with easy-to-process structures as well as strict semantics. In this paper, we equip the DCS framework with logical inference, by defining abstract denotations as
Ran Tian, Yusuke Miyao, Takuya Matsuzaki
semanticscholar +1 more source
Spectral Composition of Semantic Spaces
, 2011 Spectral theory in mathematics is key to the success of as diverse application domains as quantum mechanics and latent semantic indexing, both relying on eigenvalue decomposition for the localization of their respective entities in observation space. This points at some implicit "energy" inherent in semantics and in need of quantification.
Wittek, Peter, Darányi, Sándor
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Flexible semantic composition with DUDES [PDF]
Proceedings of the Eighth International Conference on Computational Semantics - IWCS-8 '09, 2009 In this paper we present a novel formalism for semantic construction called DUDES (Dependency-based Underspecified Discourse REpresentation Structures). The DUDES formalism has been designed to overcome the rigidity of semantic composition based on the lambda calculus (where the order of application is typically fixed) and provides some flexibility ...
openaire +2 more sources
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
Advanced Science, EarlyView.In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source