People say, "A picture is worth a thousand words". Then how can we get t...
Recently, Multi-modal Named Entity Recognition (MNER) has attracted a lo...
Entity retrieval, which aims at disambiguating mentions to canonical ent...
Recent advances in Named Entity Recognition (NER) show that document-lev...
The neural linear-chain CRF model is one of the most widely-used approac...
Knowledge distillation is a critical technique to transfer knowledge bet...
Pretrained contextualized embeddings are powerful word representations f...
Recent work proposes a family of contextual embeddings that significantl...
The linear-chain Conditional Random Field (CRF) model is one of the most...
Multilingual sequence labeling is a task of predicting label sequences u...
Unsupervised neural machine translation (UNMT) has recently achieved
rem...