Results 1 to 10 of about 2,474 (97)

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   +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

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   +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

Artificial intelligence in healthcare text processing: a review applied to named entity recognition [PDF]

Frontiers in Artificial Intelligence
ContextTraditional methods such as rule-based systems, word embeddings (e.g. Word2Vec, GloVe) and sequence tagging models such as CRFs and HMMs have difficulty capturing the complex and nuanced context of medical texts, leading to low precision and ...
Samuel Santana de Almeida, Raphael Silva Fontes, Luca Pareja Credidio Freire Alves, Methanias Colaço Júnior, Methanias Colaço Júnior, Methanias Colaço Júnior, Gleyson José Pinheiro Caldeira Silva, Lyane Ramalho Cortez, Antonio Higor Freire de Morais, Guilherme Medeiros Machado, Hugo Gonçalo Oliveira, Aliete Cunha-Oliveira, João Paulo Queiroz dos Santos, Ricardo Alexsandro de Medeiros Valentim   +13 more
doaj   +2 more sources

Geo-parsing and analysis of road traffic crash incidents for data-driven emergency response planning [PDF]

Heliyon
Road traffic crashes (RTCs) are a major public health concern worldwide, particularly in Nigeria, where road transport is the most common mode of transportation.
Patricia Ojonoka Idakwo, Olubayo Adekanmbi, Anthony Soronnadi, Amos David   +3 more
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

Name Entity Recognition Tasks: Technologies and Tools

Моделирование и анализ информационных систем, 2023
The task of named entity recognition (NER) is to identify and classify words and phrases denoting named entities, such as people, organizations, geographical names, dates, events, terms from subject areas.
Nadezhda Stanislavona Lagutina, Andrey Mikhaylovich Vasilyev, Daniil Dmitrievich Zafievsky   +2 more
doaj   +1 more source

COPIOUS: A gold standard corpus of named entities towards extracting species occurrence from biodiversity literature [PDF]

Biodiversity Data Journal, 2019
Background Species occurrence records are very important in the biodiversity domain. While several available corpora contain only annotations of species names or habitats and geographical locations, there is no consolidated corpus that covers all ...
Nhung Nguyen, Roselyn Gabud, Sophia Ananiadou   +2 more
doaj   +2 more sources