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Concept Alignment

Concept Alignment aims to align the learned representations or concepts within a model with the intended or target concepts. It involves adjusting the model's parameters or training process to ensure that the learned concepts accurately reflect the underlying patterns in the data.

Papers

Showing 3136 of 36 papers

TitleStatusHype
Align-smatch: A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing based on Alignment of Concept and Relation0
Grammar-Based Concept Alignment for Domain-Specific Machine Translation0
Concept Extraction Using Pointer-Generator NetworksCode1
Discovery of Natural Language Concepts in Individual Units of CNNsCode0
Natural Language Detectors Emerge in Individual Neurons0
Getting the Most out of AMR Parsing0
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