Results 231 to 240 of about 316,674 (279)

GRU-SCANET: unleashing the power of GRU-based sinusoidal capture network for precision-driven named entity recognition. [PDF]

Bioinform Adv
Happi Happi BG, Pelap GF, Symeonidou D, Larmande P.   +3 more
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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
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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
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A text-speech multimodal Chinese named entity recognition model for crop diseases and pests. [PDF]

Sci Rep
Liu R, Guo X, Zhu H, Wang L.
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A Position- and Similarity-Aware Named Entity Recognition Model for Power Equipment Maintenance Work Orders. [PDF]

Sensors (Basel)
Wei Z, Qu S, Zhao L, Shi Q, Zhang C.
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MAHE: a multiscale and hybrid expert-based model for image-text enhanced named entity recognition on social media. [PDF]

Sci Rep
Yang S, Mo B, Liu D, Zhu L.
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Attention-based interactive multi-level feature fusion for named entity recognition. [PDF]

Sci Rep
Xu Y, Chen Y.
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IsiXhosa Named Entity Recognition Resources

ACM Transactions on Asian and Low-Resource Language Information Processing, 2022
Named entity recognition has been one of the most widely researched natural language processing technologies over the past two decades. For the South African languages, however, relatively little research and development work has been done. This changed with the release of the NCHLT named entity annotated resources, a collection of named entity ...
Roald Eiselen, Andiswa Bukula
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Named entity recognition

Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 2011
Named Entity Recognition (NER) system has two sub-tasks, first is identification and second is classification. In first NER identifies words in texts which represent proper names like location, person-name, organization, date, time etc. and in second it classifies them in to predefined categories.
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