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

Simple item page
dc.contributor.authorWei Zhang
dc.contributor.authorJingtao Meng
dc.contributor.authorJianhua Wan
dc.contributor.authorChengkun Zhang
dc.contributor.authorJiajun Zhang
dc.contributor.authorYuanyuan Wang
dc.contributor.authorLiuchang Xu
dc.contributor.authorFei Li
dc.date.accessioned2025-05-14T14:54:56Z
dc.date.available2025-05-14T14:54:56Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27255
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleChineseCTRE: A Model for Geographical Named Entity Recognition and Correction Based on Deep Neural Networks and the BERT Model
dc.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistribution3f54f240-c38e-4f5b-8845-f1c07f54a77b
relation.isDatasetOfDistribution.latestForDiscovery3f54f240-c38e-4f5b-8845-f1c07f54a77b

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ijgi-12-10-00394.pdf
Size:
1.74 MB
Format:
Adobe Portable Document Format
Download

Collections

2023