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Named entity recognition in the domain of geographical subject

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017
Aiming at Named Entity Recognition (NER) in the domain of geographical subject, two different methods are proposed to recognize two categories of entity: geographical core terms and geographical location. In this paper, conditional random field (CRF) model combining commonly used features and geographical domain features is employed.
Huiying Li, Feifei Xu
exaly   +2 more sources

Research on named entity recognition of Chinese geographical names and addresses

Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2023
exaly   +2 more sources

Developing Rule-Based and Gazetteer Lists for Named Entity Recognition in Uzbek Language: Geographical Names

2023 IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE), 2023
Vladimir Barakhnin
exaly   +2 more sources

Geographic Named Entity Recognition and Disambiguation in Mexican News using word embeddings

Expert Systems with Applications, 2021
Abstract In recent years, dense word embeddings for text representation have been widely used since they can model complex semantic and morphological characteristics of language, such as meaning in specific contexts and applications. Contrary to sparse representations, such as one-hot encoding or frequencies, word embeddings provide computational ...
Alejandro Molina-Villegas   +3 more
openaire   +1 more source

Named entity recognition goes to old regime France: geographic text analysis for early modern French corpora

International Journal of Geographical Information Science, 2019
Geographic text analysis (GTA) research in the digital humanities has focused on projects analyzing modern English-language corpora.
Katherine McDonough   +2 more
openaire   +1 more source

A Fine‐Grained Geographic Named Entity Recognition Model Integrating Boundary Smoothing and Adaptive Pre‐Training

Transactions in GIS
ABSTRACT With the increasing use of social media in sudden disaster events, the accurate extraction of fine‐grained geographic named entities is crucial for improving disaster response efficiency. However, geographic named entity recognition in Chinese faces several challenges, including ambiguous word boundaries, entity ambiguity ...
Haiqi Wang   +7 more
openaire   +1 more source

Enriching the Digital Library Experience: Innovations With Named Entity Recognition and Geographic Information System Technologies

2008
Digital libraries are seeking innovative ways to share their resources and enhance user experience. To this end, numerous openly available technologies can be exploited. For this project, NER technology was applied to a subset of the Documenting the American South (DocSouth) digital collections.
openaire   +1 more source

Named Entity Recognition and Relation Extraction

ACM Computing Surveys, 2022
Zara Nasar   +2 more
exaly  

Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions

ACM Transactions on Intelligent Systems and Technology, 2023
Vincenzo Moscato   +2 more
exaly  

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