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Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models.
Jongyoon Song
Nohil Park
Bongkyu Hwang
Jaewoong Yun
Seongho Joe
Youngjune Gwon
Sungroh Yoon
Published in:
EACL (1) (2024)
Keyphrases
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fine tuning
abstraction levels
probabilistic model
real time
experimental data
fine tuned
statistical models
co occurrence
multiscale
higher level
parameter estimation
named entities
prior knowledge
bayesian framework
multi document summarization
neural network
viable alternative
data sets