A character-level neural CRF with string-matching embedding alignment and contextualized character language models improves Twitter named-entity recognition without relying on tokenization.
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Raw-to-End Name Entity Recognition in Social Media
A character-level neural CRF with string-matching embedding alignment and contextualized character language models improves Twitter named-entity recognition without relying on tokenization.