Papers with BILSTM
Hedwig: A Named Entity Linker (2020.lrec-1)
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| Challenge: | Named entity linking is the task of identifying mentions of named things in text . e.g., "Barack Obama" or "New York" are examples of named entities . |
| Approach: | They propose an end-to-end named entity linker that uses BILSTM models for mention detection and a PageRank algorithm for entity linking. |
| Outcome: | The proposed named entity linker performs better than the previous generation, and is trilingually better. |