Results 21 to 30 of about 3,128,761 (236)

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

A Hybrid Machine Learning Pipeline for Automated Mapping of Events and Locations From Social Media in Disasters

open access: yesIEEE Access, 2020
The objective of this study is to propose and test a hybrid machine learning pipeline to uncover the unfolding of disaster events corresponding to different locations from social media posts during disasters.
Chao Fan, Fangsheng Wu, Ali Mostafavi
doaj   +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

Utilization of geocoding for mapping infrastructure impacts and mobility due to floods in indonesia based on twitter analytics

open access: yesJPPI (Jurnal Penelitian Pendidikan Indonesia)
Flooding, a frequent natural disaster in Indonesia, is caused by several factors such as high-intensity rainfall, climate change, inadequate drainage and urban infrastructure challenges, impacting communities, infrastructure and economic activities.
Muhammad Imam Taufiq   +1 more
doaj   +1 more source

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

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

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

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

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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