Results 61 to 70 of about 2,664 (259)

MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation [PDF]

, 2020
The knowledge acquisition bottleneck strongly affects the creation of multilingual sense-annotated data, hence limiting the power of supervised systems when applied to multilingual Word Sense Disambiguation.
Barba, Edoardo, Navigli, Roberto, Pasini, Tommaso, Tommaso Pasini, Roberto Navigli, Luigi Procopio, Procopio, Luigi, Edoardo Barba, Niccolò Campolungo, Campolungo, Niccolò   +9 more
core   +1 more source

OntoLogX: Ontology‐Guided Knowledge Graph Extraction From Cybersecurity Logs With Large Language Models

Advanced Intelligent Systems, EarlyView.
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti, Idilio Drago, Anisa Rula, Devis Bianchini, Federico Cerutti   +4 more
wiley   +1 more source

Unsupervised Named Entity Disambiguation for Low Resource Domains

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
In the ever-evolving landscape of natural language processing and information retrieval, the need for robust and domain-specific entity linking algorithms has become increasingly apparent. It is crucial in a considerable number of fields such as humanities, technical writing and biomedical sciences to enrich texts with semantics and discover more ...
Debarghya Datta, Soumajit Pramanik
openaire   +2 more sources

The role of venture‐financed startups in innovation for US agriculture

American Journal of Agricultural Economics, EarlyView.
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff, Charles A. W. de Grazia, Nicholas E. Rada   +2 more
wiley   +1 more source

Web Resource Sense Disambiguation in Web of Data

, 2020
: This paper introduces the use of WordNet as a resource for RDF web resources sense disambiguation in Web of Data and shows the role of designed system in interlinking datasets in Web of Data and word sense disambiguation scope.

core  

Concept-Based Approach to Word-Sense Disambiguation

, 2021
The task of automatically determining the correct sense of a polysemous word has remained a challenge to this day. In our research, we introduce Concept-Based Disambiguation (CBD), a novel framework that utilizes recent semantic analysis techniques to ...
Markovitch, Shaul, Raviv, Ariel
core   +1 more source

Gender Equity in Rheumatology Research: Global Analysis of Authors

Arthritis &Rheumatology, EarlyView.
Objective To investigate gender representation of authors in rheumatology research over the last decade. Methods Using metadata from original and review articles published between 2015 and 2024 in SCImago top two quartile (Q1, Q2) rheumatology journals, author gender was classified using two public databases.
Michael Girdwood, Jean W. Liew, Ida K. Haugen, Marcella F. Pazzinatto, Andrea M. Bruder, Nicola Dalbeth, Adam G. Culvenor, Tuhina Neogi   +7 more
wiley   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

A SURVEY OF TRANSFORMER AND LARGE LANGUAGE MODEL STRATEGIES FOR CLINICAL ABBREVIATION DISAMBIGUATION: A SPECTRUM OF PARADIGMS [PDF]

International Journal of Intelligent Computing and Information Sciences
The clinical narrative is a treasure trove of patient information, yet its value is often obscured by a high density of ambiguous abbreviations. For years, resolving this ambiguity was a classic supervised learning problem, held back by data scarcity and
Ghada Farouk, Sally Saad, Mostafa Aref
doaj   +1 more source

Immersive Technologies in Dental Education: Global Adoption Patterns From a 2025 Survey

Journal of Dental Education, EarlyView.
ABSTRACT Purpose/Objectives Dental education is undergoing a digital transformation, yet the adoption of immersive technologies such as haptic virtual reality (HVR) remains limited. This study aimed to map global adoption trends, barriers, and opportunities for equitable integration of HVR in dental curricula.
Barry Quinn, Reinhard Chun Wang Chau, Szabolcs Felszeghy, Mikko Liukkonen, Andreea Cristiana Didilescu, Damiano Pasqualini, Daniela Pino Valenzuela, David P. Rice, Gianrico Spagnuolo, Josette Camilleri, Khaled E. Ahmed, Laura Andriukaitiene, Łukasz Zadrożny, Masako Nagasawa, Mengwei Pang, Mohammed Al‐Haroni, Neshka Manchorova, Nisrine El Arrouf, Noha Waleed Barakat, Peter Lingström, Samantha J. Byrne, Santiago Arias‐Herrera, Ülle Voog‐Oras, Gitana Rederiene, Gül Gülsün, Rebecca Stolberg, Henry F. Duncan, Sompop Bencharit, Margaret Cox   +28 more
wiley   +1 more source