Results 211 to 220 of about 2,637,088 (356)
Fine-tuned large language models with structured prompts enable efficient construction of lung cancer knowledge graphs. [PDF]
Zhou C +5 more
europepmc +1 more source
Representing processes in the extended entity-relationship model
Victor Markowitz
openalex +2 more sources
ABSTRACT In recent decades, agriculture has become increasingly concentrated through horizontal mergers and acquisitions via corporate entities, and policy makers are concerned this will be exacerbated by the aging population of farm operators. To reduce market concentration in agriculture, many states have enacted policies to entice new prospective ...
Justin M. Ross +2 more
wiley +1 more source
Representation learning approach for understanding structured documents. [PDF]
Trivedi A +3 more
europepmc +1 more source
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
A causal discovery-based adaptive fusion algorithm for multi-source heterogeneous knowledge graphs. [PDF]
Wang T.
europepmc +1 more source
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models [PDF]
Jio Oh +6 more
openalex +1 more source
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
BioTriplex: a full-text annotated corpus for fine-tuning language models in gene-disease relation extraction tasks. [PDF]
Collins C +6 more
europepmc +1 more source

