Results 101 to 110 of about 304,629 (283)
Chinese named entity recognition based on multiple features [PDF]
Youzheng Wu, Jun Zhao, Bo Xu, Hao Yu
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Named Entity Recognition in Context
We present the Named Entity Recognition system developed by the Edit Dunhuang team for the EvaHan2025 competition. Our approach integrates three core components: (1) Pindola, a modern transformer-based bidirectional encoder pretrained on a large corpus of Classical Chinese texts; (2) a retrieval module that fetches relevant external context for each ...
Brisson, Colin+3 more
openaire +2 more sources
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin+1 more
wiley +1 more source
GENETAG: a tagged corpus for gene/protein named entity recognition [PDF]
Lorraine Tanabe+4 more
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Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley +1 more source
An effective two-stage model for exploiting non-local dependencies in named entity recognition [PDF]
Vijay Krishnan, Christopher D. Manning
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ABSTRACT Social tensions and resource depletion pose significant challenges to the agri‐food sector, highlighting the need for coordinated strategies to ensure sustainability in supply chains. Despite its critical importance, the relationship between coordination mechanisms and sustainability performance remains underexplored.
Carlos Moreno‐Miranda, Liesbeth Dries
wiley +1 more source
Named entity recognition using an HMM-based chunk tagger
Guodong Zhou, Jian Su
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NERBio: using selected word conjunctions, term normalization, and global patterns to improve biomedical named entity recognition [PDF]
Richard Tzong‐Han Tsai+5 more
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Abstract This study presents a data‐driven modeling and multi‐objective optimization framework for an integrated section of continuous pharmaceutical manufacturing, focusing on flow synthesis and continuous crystallization. To address data scarcity and trade‐offs among product quality, efficiency, and environmental impact, the framework combines ...
Yiming Ma+7 more
wiley +1 more source