Results 51 to 60 of about 379,557 (154)
Stable Classification of Text Genres
Philipp Petrenz, Bonnie Webber
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On the use of text classification methods for text summarisation [PDF]
This thesis describes research work undertaken in the fields of text and questionnaire mining. More specifically, the research work is directed at the use of text classification techniques for the purpose of summarising the free text part of questionnaires.
openaire +2 more sources
Text Representations for Patent Classification
Eva D'hondt +3 more
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Federated Freeze BERT for text classification
Pre-trained BERT models have demonstrated exceptional performance in the context of text classification tasks. Certain problem domains necessitate data distribution without data sharing.
Omar Galal +2 more
doaj +1 more source
An Ensemble Framework for Text Classification
Ensemble learning can improve predictive performance compared to the performance of any of its constituents alone, while keeping computational demands manageable. However, no reference methodology is available for developing ensemble systems.
Eleni Kamateri, Michail Salampasis
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Text Semantics-Driven Data Classification Storage Optimization
Data classification storage has emerged as an effective strategy, harnessing the diverse performance attributes of storage devices to orchestrate a harmonious equilibrium between energy consumption, cost considerations, and user accessibility.
Zhu Yuan +5 more
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OBOE: an Explainable Text Classification Framework.
Explainable Artificial Intelligence (XAI) has recently gained visibility as one of the main topics of Artificial Intelligence research due to, among others, the need to provide a meaningful justification of the reasons behind the decision of black-box ...
Raúl A. del Águila Escobar +2 more
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Feature selection algorithm for uncertain text classification
A novel algorithm called FSUNT was proposed based on HSIC, with the focus on the vagueness and uncertainty which might be taken into account during feature selection.
WANG Bo +3 more
doaj
Comparing energy consumption and accuracy in text classification inference. [PDF]
Zschache J, Hartwig T.
europepmc +1 more source
Mitigating bias in multilabel medical text classification: a cooperative training framework with dynamic debiasing. [PDF]
Li P, Zhang X, Hu X, Lin Z, Zhou D.
europepmc +1 more source

