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TopoBERT: a plug and play toponym recognition module harnessing fine-tuned BERT

open access: yesInternational Journal of Digital Earth, 2023
Extracting precise geographical information from the textual content, referred to as toponym recognition, is fundamental in geographical information retrieval and crucial in a plethora of spatial analyses, e.g.
Bing Zhou   +4 more
doaj   +2 more sources

Extracting locations from sport and exercise-related social media messages using a neural network-based bilingual toponym recognition model

open access: yesJournal of Spatial Information Science, 2022
Sport and exercise contribute to health and well-being in cities. While previous research has mainly focused on activities at specific locations such as sport facilities, "informal sport" that occur at arbitrary locations across the city have been ...
Pengyuan Liu   +7 more
doaj   +2 more sources

Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text

open access: yesRemote Sensing, 2020
The automatic extraction of geospatial information is an important aspect of data mining. Computer systems capable of discovering geographic information from natural language involve a complex process called geoparsing, which includes two important tasks:
Edwin Aldana-Bobadilla   +5 more
doaj   +2 more sources

Deep Belief Networks Based Toponym Recognition for Chinese Text

open access: yesISPRS International Journal of Geo-Information, 2018
In Geographical Information Systems, geo-coding is used for the task of mapping from implicitly geo-referenced data to explicitly geo-referenced coordinates.
Shu Wang, Xueying Zhang, Peng Ye, Mi Du
doaj   +2 more sources

Geographic Named Entity Recognition by Employing Natural Language Processing and an Improved BERT Model

open access: yesISPRS International Journal of Geo-Information, 2022
Toponym recognition, or the challenge of detecting place names that have a similar referent, is involved in a number of activities connected to geographical information retrieval and geographical information sciences. This research focuses on recognizing
Liufeng Tao   +6 more
doaj   +2 more sources

CSMNER: A Toponym Entity Recognition Model for Chinese Social Media

open access: yesISPRS International Journal of Geo-Information
In the era of information explosion, Chinese social media has become a repository for massive geographic information; however, its unique unstructured nature and diverse expressions are challenging to toponym entity recognition.
Yuyang Qi   +6 more
doaj   +2 more sources

RB-TRNet: a regularity-guided and boundary-aware architecture for toponym recognition from Chinese text

open access: yesGeo-spatial Information Science
Extracting geographic information from texts contributes to both geographic information science research and various practical applications, but extracting fine-grained and complex location descriptions from Chinese text is still challenging, due to ...
Haigang Sui   +5 more
doaj   +2 more sources

Toponym recognition in custom-made map titles [PDF]

open access: yes, 2015
International audienceThe titles of customized topographic maps constitute a specific corpus which is characterized by a very significant number of place names and spelling variations. This paper is about identifying toponyms in these titles. The toponym
Dominguès, Catherine   +1 more
core   +2 more sources

Using Twitter Data to Monitor Natural Disaster Social Dynamics: A Recurrent Neural Network Approach with Word Embeddings and Kernel Density Estimation [PDF]

open access: yesSensors, 2019
In recent years, Online Social Networks (OSNs) have received a great deal of attention for their potential use in the spatial and temporal modeling of events owing to the information that can be extracted from these platforms. Within this context, one of
Aldo Hernandez-Suarez   +6 more
doaj   +2 more sources

CHTopo: A Multi-Source Large-Scale Chinese Toponym Annotation Corpus

open access: yesInformation
Toponyms are fundamental geographical resources characterized by their spatial attributes, distinct from general nouns. While natural language provides rich toponymic data beyond traditional surveying methods, its qualitative ambiguity and inherent ...
Peng Ye, Yujin Jiang, Yadi Wang
doaj   +2 more sources

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