Results 1 to 10 of about 2,483 (107)

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

ISPRS 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, Zhong Xie, Dexin Xu, Kai Ma, Qinjun Qiu, Shengyong Pan, Bo Huang   +6 more
doaj   +5 more sources

Beyond extraction accuracy: addressing the quality of geographical named entity through advanced recognition and correction models using a modified BERT framework

Geo-spatial Information Science
In the realm of geospatial services and applications, the accuracy of address information is of utmost importance. Traditional methods of data collection, being both labor-intensive and costly, have prompted researchers to turn to Volunteered Geographic ...
Liuchang Xu, Jiajun Zhang, Chengkun Zhang, Xinyu Zheng, Zhenhong Du, Xingyu Xue   +5 more
doaj   +4 more sources

ChineseCTRE: A Model for Geographical Named Entity Recognition and Correction Based on Deep Neural Networks and the BERT Model

ISPRS International Journal of Geo-Information, 2023
Social media is widely used to share real-time information and report accidents during natural disasters. Named entity recognition (NER) is a fundamental task of geospatial information applications that aims to extract location names from natural ...
Wei Zhang, Jingtao Meng, Jianhua Wan, Chengkun Zhang, Jiajun Zhang, Yuanyuan Wang, Liuchang Xu, Fei Li   +7 more
doaj   +3 more sources

A dataset of geographic entities and relationships from Song Dynasty texts on Lin’an [PDF]

Scientific Data
The automatic extraction of geographical entities and spatial relationships from historical texts is a fundamental task for Named Entity Recognition (NER) and relation extraction (RE), with important implications for historical geography and digital ...
Chi Zhang, Fengchen Zhong, Zuohui Chen, Wei Wu, Debao Pan   +4 more
doaj   +2 more sources

Geo-MRC: Dynamic Boundary Inference in Machine Reading Comprehension for Nested Geographic Named Entity Recognition

ISPRS International Journal of Geo-Information
Geographic Named Entity Recognition (Geo-NER) is a crucial task for extracting geography-related entities from unstructured text, and it plays an essential role in geographic information extraction and spatial semantic understanding.
Yuting Zhang, Jingzhong Li, Pengpeng Li, Tao Liu, Ping Du, Xuan Hao   +5 more
doaj   +3 more sources

From Text to Map: Combing Named Entity Recognition and Geographic Information Systems

Code4Lib Journal, 2020
This tutorial shows readers how to leverage the power of named entity recognition (NER) and geographic information systems (GIS) to extract place names from text, geocode them, and create a public-facing map.
Charlie Harper, R. Benjamin Gorham
doaj   +1 more source

A geolocated dataset of German news articles [PDF]

Scientific Data
The emergence of large language models and the exponential growth of digitized text data have revolutionized research methodologies across a broad range of social sciences.
Lukas Kriesch, Sebastian Losacker
doaj   +2 more sources

Normalisation of 16th and 17th century texts in French and geographical named entity recognition [PDF]

Proceedings of the 4th ACM SIGSPATIAL Workshop on Geospatial Humanities, 2020
Both statistical and rule-based methods for named entity recognition are quite sensitive to the type of language used in the analysed texts. Former studies have shown for example that it was harder to detect named entities in SMS or microblog messages where words are abridged or changed to lowercase.
Kogkitsidou, Eleni, Gambette, Philippe
openaire   +2 more sources

Automated recognition of geographical named entities in titles of Ukiyo-e prints

Digital Humanities Workshop, 2021
This paper investigates the application of Natural Language Processing as a means to study the relationship between topography and its visual renderings in early modern Japanese ukiyo-e landscape prints. We introduce a new dataset with titles of landscape prints that have been annotated by an art historian for any included place-names.
Machotka, Ewa, Chatzipanagiotou, Marita, Pavlopoulos, John   +2 more
openaire   +3 more sources

Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text

Remote 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, Alejandro Molina-Villegas, Ivan Lopez-Arevalo, Shanel Reyes-Palacios, Victor Muñiz-Sanchez, Jean Arreola-Trapala   +5 more
doaj   +1 more source