Named Entities Recognition
- Mediacal Named Entity Recognition
- Chinese Named Entity Recognition
- Nested Named Entity Recognition
Named Entity Recognition (NER) is the process of labeling named-entities in the text. Named entities are real-world objects such as persons, locations, organizations etc, that can be denoted by a proper name.
Research starts with Stanford NER
| title | conference | year | code | stars |
|---|---|---|---|---|
| Semi-Supervised Sequence Modeling with Cross-View Trainings | EMNLP | 2018 | tensorflow | 54933 |
| BERT: Pre-training of Deep Bidirectional Transformers for Language Understandin | NACCL | 2019 | tensorflow | 16383 |
| Pooled Contextualized Embeddings for Named Entity Recognition | NACCL | 2019 | pytorch | 6510 |
| Neural Architectures for Named Entity Recognition | NACCL | 2016 | pytorch | 6811 |
| Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition | 2017 | tensorflow | 3303 | |
| NeuroNER: an easy-to-use program for named-entity recognition based on neural networks | EMNLP | 2017 | tensorflow | 1312 |
[1]. paperwithcode