Papers with Entity mentions
A Neural Layered Model for Nested Named Entity Recognition (N18-1)
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| Challenge: | Entity mentions embedded in longer entity mentions are referred to as nested entities due to the properties of natural language. |
| Approach: | They propose a neural model that dynamically stacks flat NER layers to identify nested entities by capturing sequential context representation with bidirectional long-term memory. |
| Outcome: | The proposed model outperforms state-of-the-art feature-based systems on nested NER, achieving 74.7% and 72.2% on GENIA and ACE2005 datasets, respectively in terms of F-score. |
Multi-Cell Compositional LSTM for NER Domain Adaptation (2020.acl-main)
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| Challenge: | Named entity recognition (NER) is a challenging but practical problem. |
| Approach: | They propose a multi-cell compositional LSTM structure for multi-task learning . they model each entity type using a separate cell state . |
| Outcome: | Empirical results show that the proposed method outperforms multi-task learning methods and achieves the best results. |