Named Entity Recognition
Named entity recognition identifies and classifies proper names such as people, places, and organisations in text.
At a glance
Key signals
0% cross fields · reaches 0 more
- Computational Linguistics
- Digital Humanities
- Explanation
- Examples
- Misconception
- Sourced relations
- Attribution
Dependencies
What this concept builds on and what it makes possible — derived from the atlas’s dependency, causal and structural relations, not from every related edge.
Enables · leads to
Coreference Resolutiondepends onNamed Entity RecognitionEstablished
Coreference Resolution depends on Named-entity recognition.
Network visualizationdepends onNamed Entity RecognitionEstablished
Network visualization depends on Named-entity recognition.
Named Entity RecognitionenablesSpatial humanitiesEstablished
Named-entity recognition enables Spatial humanities.
System context
Named Entity Recognitionis part ofText miningEstablished
Named-entity recognition is a part of Text mining.
Structural role & consequence
Interpreted from the current atlas graph — what the connections mean, not just how many there are.
Directly enables 1 concept; following enables/causes relations, 1 concept is downstream across 1 discipline.
structural · Follows only enables/causes dependency edges — not general relatedness.
Currently dark in the atlas: no key date stored · 6 of 6 of its relations lack claim-level evidence.
atlas representation · Describes the current Thinking OS representation, not the state of the world.
Structural neighbourhood: 6 → 13 → 19 concepts reachable within 3 hops.
structural · Structural reach — being reachable is not the same as being understood.
All 6 of its relationships stay within its own discipline — a field-specific concept in the current atlas.
structural · Structural graph analysis — not a claim of importance, causation or history.
cross-field
6 within-field, 0 cross-field
Strengths & constraints
Constraints
- Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
- No dated history stored — the atlas records no key date for this concept. atlas representation
Conditions
- Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural
Dependency radial
What this concept builds on (left) and what it makes possible (right) — derived from dependency and causal relations.
What builds on this
2 concepts build on this directly, 3 in total, across 2 disciplines.
Structural downstream reach along dependency edges — not a claim of historical necessity.
Seen through each discipline
How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.
Through this lens it connects to Part-of-Speech Tagging, Semantic Parsing and Coreference Resolution.
Named Entity Recognition through the Computational Linguistics lens →
Through this lens it connects to Text mining, Spatial humanities and Network visualization.
Named Entity Recognition through the Digital Humanities lens →
Related ideas to explore
Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.
- Connects 6 other ideas across 2 disciplines.
- A local hub: unusually many ideas converge here.
- Most of its connections are of the “Cause & effect” kind.
Derived from the graph’s real structure — observations, not a score.
Sources
- Named entity chunking techniques in supervised learning for Japanese named entity recognition (2000) verified
- A Survey of Arabic Named Entity Recognition and Classification (2014) verified
- A Named Entity Recognition Model for Medieval Latin Charters (2021) verified
- Chinese Fine-grained Named Entity Recognition based on Deep Learning (2024) verified