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- CELESTA Public
A hybrid LLM-based framework that performs parallel mention expansion using multilingual and monolingual LLMs, then applies a similarity-based mechanism to select the most contextually appropriate expansion. The selected expansion is used to improve entity disambiguation model in low-resource languages, such as Indonesian.
dice-group/CELESTA’s past year of commit activity - literal-embeddings Public
Neural Regression with Embeddings for Numeric Attribute Prediction in Knowledge Graphs
dice-group/literal-embeddings’s past year of commit activity - KATRINA Public
dice-group/KATRINA’s past year of commit activity - tentris-wcoj-with-updates Public
dice-group/tentris-wcoj-with-updates’s past year of commit activity
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