Results 241 to 250 of about 379,251 (377)

Generative named entity recognition framework for Chinese legal domain. [PDF]

PeerJ Comput Sci
Mao X, Jiang J, Zeng Y, Peng Y, Zhang S, Li F.   +5 more
europepmc   +1 more source

Monitoring named entity recognition: the League Table [PDF]

, 2013
Dietrich Rebholz‐Schuhmann, Şenay Kafkas, Jee-Hyub Kim, Antonio Jimeno Yepes, Ian Lewin   +4 more
openalex   +1 more source

A comprehensive dataset and neural network approach for named entity recognition in the Uzbek language. [PDF]

Data Brief
Mengliev D, Barakhnin V, Eshkulov M, Ibragimov B, Madirimov S.   +4 more
europepmc   +1 more source

Biomedical Named Entity Recognition: A Poor Knowledge HMM-Based Approach

, 2007
Natalia Ponomareva, Ferran Plà, Antonio Molina, Paolo Rosso   +3 more
openalex   +1 more source

Named entity recognition of pharmacokinetic parameters in the scientific literature. [PDF]

Sci Rep
Gonzalez Hernandez F, Nguyen Q, Smith VC, Cordero JA, Ballester MR, Duran M, Solé A, Chotsiri P, Wattanakul T, Mundin G, Lilaonitkul W, Standing JF, Kloprogge F.   +12 more
europepmc   +1 more source

Chinese Named Entity Recognition for Automobile Fault Texts Based on External Context Retrieving and Adversarial Training. [PDF]

Entropy (Basel)
Wang S, Sun L.
europepmc   +1 more source

Improved Statistical Machine Translation by Cross-Linguistic Projection of Named Entities Recognition and Translation [PDF]

, 2015
Rahma Sellami, Fatima Deffaf, Fatiha Sadat, Lamia Hadrich Belguith   +3 more
openalex   +1 more source

mvh: An R tool to assemble and organize virtual herbaria from openly available specimen images

Applications in Plant Sciences, EarlyView.
Abstract Premise Recent advances in imaging herbarium specimens have enhanced their use in biodiversity studies. However, user‐friendly tools that facilitate the assembly of customized sets of herbarium specimen images on personal devices are still lacking.
Thais Vasconcelos, James D. Boyko
wiley   +1 more source

Improving dictionary-based named entity recognition with deep learning. [PDF]

Bioinformatics
Nastou K, Koutrouli M, Pyysalo S, Jensen LJ.   +3 more
europepmc   +1 more source

Named Entity Recognition in Electronic Health Records: A Methodological Review. [PDF]

Healthc Inform Res, 2023
Durango MC, Torres-Silva EA, Orozco-Duque A.   +2 more
europepmc   +1 more source