Results 21 to 30 of about 3,337,140 (226)

Geotagging Text Data on the Web—A Geometrical Approach

open access: yesIEEE Access, 2018
Geotagging, the process of tagging of documents with geographical information, is an important issue in geographical information retrieval systems. In this paper, we propose a novel approach for geotagging of textual web documents.
Mansi A. Radke   +4 more
doaj   +1 more source

Multi-Granularity Feature Fusion for Named Entity Recognition of Classical Chinese Texts from the Perspective of Digital Humanities

open access: yesZhishi guanli luntan
[Purpose/Significance] Leveraging Named Entity Recognition (NER) techniques for the thorough exploration of ancient literary documents not only drives forward the digitization of ancient Chinese texts, including the vital process of Ancient text ...
Meng Jiana, Xu Yingao, Zhao Dandan, Li Fengyi, Zhao Di
doaj   +1 more source

Transfer learning for Turkish named entity recognition on noisy text [PDF]

open access: yes, 2019
This is an accepted manuscript of an article published by Cambridge University Press in Natural Language Engineering on 28/01/2020, available online: https://doi.org/10.1017/S1351324919000627 The accepted version of the publication may differ from the ...
Can, Burcu, Kagan Akkaya, E
core   +1 more source

Attention-Based End-To-End Named Entity Recognition From Speech

open access: yes, 2021
| openaire: EC/H2020/780069/EU//MeMADNamed entities are heavily used in the field of spoken language understanding, which uses speech as an input. The standard way of doing named entity recognition from speech involves a pipeline of two systems, where ...
Mikko Kurimo   +5 more
core   +1 more source

Extracting Geographical References from Finnish Literature. Fully Automated Processing of Plain-Text Corpora

open access: yesJournal of Computational Literary Studies
In the Atlas of Finnish Literature 1870-1940 project, we extract geographical information from a Finnish-language corpus of literary texts published between 1870 and 1940.
Asko Nivala   +3 more
doaj   +2 more sources

Learning Relatedness Measures for Entity Linking [PDF]

open access: yes, 2013
Entity Linking is the task of detecting, in text documents, relevant mentions to entities of a given knowledge base. To this end, entity-linking algorithms use several signals and features extracted from the input text or from the knowl- edge base.
Lucchese, Claudio   +15 more
core   +1 more source

Clinical and Modifiable Factors Associated With Disability and Relapse in MOGAD: A Multicentre Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang   +23 more
wiley   +1 more source

The Price of Precision: A Critical Review of Molecular Diagnostics in Glioma, From Guidelines to Global Disparities

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley   +1 more source

An automatically built named entity lexicon for Arabic [PDF]

open access: yes, 2010
We have successfully adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK).
Attia, Mohammed   +4 more
core   +2 more sources

A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics

open access: yesAdvanced Science, EarlyView.
A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma   +22 more
wiley   +1 more source

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