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Explore the knowledge graph

Part-of-Speech Tagging requires Tokenization. Activate to inspect this relation.Syntactic parsing depends on Part-of-Speech Tagging. Activate to inspect this relation.Semantic Parsing depends on Syntactic parsing. Activate to inspect this relation.Named Entity Recognition influences Part-of-Speech Tagging. Activate to inspect this relation.Coreference Resolution depends on Named Entity Recognition. Activate to inspect this relation.Semantic Parsing influences Named Entity Recognition. Activate to inspect this relation.Distant reading requires Text mining. Activate to inspect this relation.Distant reading is analogous to Corpus linguistics. Activate to inspect this relation.Text mining applies to Corpus linguistics. Activate to inspect this relation.Stylometry is a Text mining. Activate to inspect this relation.Named Entity Recognition is part of Text mining. Activate to inspect this relation.Optical character recognition enables Text mining. Activate to inspect this relation.Cultural analytics is analogous to Distant reading. Activate to inspect this relation.Cultural analytics requires Network visualization. Activate to inspect this relation.Spatial humanities is a Cultural analytics. Activate to inspect this relation.Named Entity Recognition enables Spatial humanities. Activate to inspect this relation.Network visualization depends on Named Entity Recognition. Activate to inspect this relation.Coreference ResolutionNamed Entity RecognitionPart-of-Speech TaggingText miningSpatial humanitiesSemantic ParsingNetwork visualizationTokenizationSyntactic parsingCorpus linguisticsDistant readingStylometryOptical character recognitionCultural analytics
Relationship types
Legend
  • Focused concept
  • Connected concept
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
14 concepts17 relationships3 disciplines5 relation families

Coreference Resolution

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At a glance

Coreference resolution determines which expressions in a text refer to the same entity.

Disciplines
Computational Linguistics
Role in the graph
Leaf concept
Relationships
1 · 1 relation families

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 3 disciplines: Computational Linguistics, Digital Humanities, Linguistics.
  • Named Entity Recognition is a bridge concept — viewed here through Computational Linguistics, Digital Humanities.
  • The connections here span 5 relation families.

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

By discipline

By thinking pattern

By journey

Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.