Language, speech & LLMs· 2016
Neural Architectures for Named Entity Recognition
On the reading lists
- #85 in Language, speech & LLMs (2026 edition)
Why it matters
Established character-aware BiLSTM-CRF architectures for end-to-end named entity recognition.
Condensed from the expert lists' notes.
The record
- First released
- 2016 (from arXiv 1603.01360)
- Citations
- 4,438 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.330 · computed rank 533 · consensus 0.245, must-read 0, citations percentile 0.589 (2010s · language), awards 0, existing lists 0.5. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.