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20092024
most citedCharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters

28 citations · 43 across the 4 of their papers we have counts for

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cs.LG2009★ 15 cited

Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling

Nataliya Sokolovska, Thomas Lavergne, Olivier Cappé +1

Conditional Random Fields (CRFs) constitute a popular and efficient approach for supervised sequence labelling. CRFs can cope with large description spaces and can integrate some f…