Results 111 to 120 of about 20,627 (210)

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

Social movements and the synecdoche problem

Noûs, Volume 60, Issue 2, Page 385-412, June 2026.
Abstract Social movements are central to our contemporary understanding of social change. Accordingly, we should want to be able to say what it is that makes social movements special; that is, to say what it is that movements in their entirety have that random samples of people and organizations within the movement do not have.
Megan Hyska
wiley   +1 more source

Assessing named entity recognition by using geoscience domain schemas: the case of mineral systems

Frontiers in Earth Science
Named Entity Recognition (NER) is crucial for accurately extracting and classifying specialized domain terms from textual data. This study introduces the Schema for Mineral Systems (SMS), designed through domain characterization, word disambiguation ...
Sandra Paula Villacorta Chambi, Mark Lindsay, Mark Lindsay, Mark Lindsay, Jens Klump, Klaus Gessner, Erin Gray, Helen McFarlane   +7 more
doaj   +1 more source

Disambiguating named entities by semantic web

Advances in Intelligent Systems Research, 2014
There are many words in natural language sentences which describe an object or event in real world. An important step to understand a sentence is finding the exact meaning of all words. In this paper we propose an approach to identify meaning of each named entity of a text by using web of data (LOD) as a large scale knowledge base.
Koohpeyma Fateme, Azari Ideh
openaire   +2 more sources

Explainable Artificial Intelligence Through the Lens of Bibliometric Citation Analysis

Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.
ABSTRACT This study provides a comprehensive bibliometric analysis of the development of Explainable Artificial Intelligence (XAI) research from 1993 to 2024. The objective is to explore key contributors, thematic trends, and the evolution of methodologies within the field.
Mariateresa Russo, Domenico Vistocco
wiley   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

From a Learner's Perspective: Tracing L2 Interactional Competence Development in Video‐Mediated Task‐Based Interactions

International Journal of Applied Linguistics, Volume 36, Issue 2, Page 1628-1640, May 2026.
ABSTRACT In task‐based language learning, learners have to deal with the challenge of moving the task and the talk concurrently forward. In doing so, they develop sets of task‐relevant, interactional, and multimodal resources. In this study we use multimodal longitudinal conversation analysis to investigate one learner's L2 interactional competence ...
Carmen Konzett‐Firth, Ufuk Balaman
wiley   +1 more source

Joint Entity Recognition and Disambiguation [PDF]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Gang Luo, Xiaojiang Huang, Chin-Yew Lin, Zaiqing Nie   +3 more
openaire   +1 more source

A Graph-based Approach for Persian Entity Linking

International Journal of Information and Communication Technology Research, 2020
Most of the data on the web is in the form of natural language, but natural language is highly ambiguous, especially when it comes to the frequent occurrence of entities.
Majid Asgari-Bidhendi, Farzane Fakhrian, Behrouz Minaei-Bidgoli   +2 more
doaj  

Named Entity Extraction and Disambiguation

, 2011
Named entity extraction and disambiguation have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. Although these topics are highly dependent, almost no existing works examine this dependency.
Habib, Mena Badieh, van Keulen, Maurice
openaire   +1 more source