Results 91 to 100 of about 2,176,830 (308)

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Anthropolinguistic Analysis of the Semantic Field of the Verb Cook

Crossroads, 2015
Anthropolinguistic analysis of the semantic field of the verb cook is an attempt at presenting the evolution of the domain of cooking in English as reflected in the vocabulary pertaining to cooking terms adopted in different historical epochs.
Jacek Kos
doaj   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

A Multi-Level Annotation Model for Fake News Detection: Implementing Kazakh-Russian Corpus via Label Studio

Big Data and Cognitive Computing
This paper presents a multi-level annotation model for detecting fake news in Kazakh and Russian languages, aiming to enhance understanding of disinformation strategies in multilingual digital media environments.
Madina Sambetbayeva, Anargul Nekessova, Aigerim Yerimbetova, Abdygalym Bayangali, Mira Kaldarova, Duman Telman, Nurzhigit Smailov   +6 more
doaj   +1 more source

Semantic Relations Between Nominals

, 2013
Table of Contents: Introduction / Relations between Nominals, Relations between Concepts / Extracting Semantic Relations with Supervision / Extracting Semantic Relations with Little or No Supervision ...
Nastase, Viviana Antonela, Diarmuid O. Seaghdha, Preslav Nakov, Stan Szpakowicz   +3 more
core   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Derivational and Semantic Relations of Croatian Verbs

Journal of Language Modelling, 2012
This paper deals with certain morphosemantic relations between Croatian verbs and discusses their inclusion in Croatian WordNet. The morphosemantic relations in question are the semantic relations between unprefixed infinitives and their prefixed ...
Krešimir Šojat, Matea Srebačić, Marko Tadić   +2 more
doaj   +1 more source

Linking Lexical Resources and Ontologies on the Semantic Web with lemon [PDF]

, 2011
McCrae J, Spohr D, Cimiano P. Linking Lexical Resources and Ontologies on the Semantic Web with lemon. In: Antoniou G, ed. Proceedings of the 8th Extended Semantic Web Conference (ESWC).
Philipp Cimiano, McCrae, John ; https://orcid.org/, Spohr, Dennis, Dennis Spohr, Cimiano, Philipp ; https://orcid.org/, Antoniou, Grigoris, John McCrae   +6 more
core   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Clustering semantic relations for constructing and maintaining knowledge organization tools [PDF]

, 2006
We propose a comprehensive methodology for thesaurus construction and maintenance combining shallow NLP with a clustering algorithm and an information visualization interface.
Ibekwe-SanJuan, Fidelia
core   +1 more source