Results 31 to 40 of about 2,575 (236)
Geospatial Knowledge in Housing Advertisements [PDF]
International audienceInformation of the geographical and spatial type is found in numerous text documents and constitutes a very challenging target for extraction. Geoparsing applications have been developed to extract geographic terms. However, off-the-
Blanchi, Alicia +5 more
core +1 more source
Ranking Georeferences for Efficient Crowdsourcing of Toponym Annotations in a Historical Corpus of Alpine Texts [PDF]
This paper presents a simple method to rank georeference candidates to optimally support the workflow of a citizen science web application for toponym annotation in historical texts. We implement the general idea of efficient crowdsourcing based on human
Meraner, Isabel +3 more
core +1 more source
A two-stage registry-anchored approach for precision improvement in organization name recognition from PubMed affiliation strings: a validation study [PDF]
Purpose Reliable bibliometric analysis requires the accurate linkage of heterogeneous affiliation strings to persistent organizational identifiers. Generic natural language processing tools frequently fail at this task because they tend to prioritize ...
Inmo Kang +5 more
doaj +1 more source
Text-analysis reveals taxonomic and geographic disparities in animal pollination literature [PDF]
Frequency of animal genera in English, primary research abstracts returned by Scopus with the term "pollinat*".We used the named entity recognition algorithms Taxonfinder and Neti Neti in the R package 'taxize' to extract taxonomic records from "pollinat*
Joseph Millard (6882404) +2 more
core +1 more source
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
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
Geotagging Text Data on the Web—A Geometrical Approach
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
A geo-temporal information extraction service for processing descriptive metadata in digital libraries [PDF]
In the context of digital map libraries, resources are usually described according to metadata records that define the relevant subject, location, time-span, format and keywords.
Martins, Bruno +3 more
core +1 more source
Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
Location inference for hidden population with online text analysis
Background Understanding the geographic distribution of hidden population, such as men who have sex with men (MSM), sex workers, or injecting drug users, are of great importance for the adequate deployment of intervention strategies and public health ...
Chuchu Liu, Ziqiang Cao, Xin Lu
doaj +1 more source

