How can many-valued attributes be transformed into binary formal contexts while preserving semantics?

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• How can this be transformed into a one-valued context?question0.776
  Question posed for the tiny Size many-valued context.
• Many-Valued Contextconcept0.754
  Data representation where attributes can take multiple values, requiring scaling to become a formal context.
• The information contained in the formal context is preserved when transformed into a concept lattice.claim0.734
• What appears to be a representation of lexical entailment in BERT is actually a data structure of two word identity representations, not an encoding of the entailment relationclaim0.729
  Key asymmetry between hierarchical equality and NLI experiments; BERT stores identities rather than the abstract relation.
• "Expressing delegation as a pair of β-transformations on keys in an associative memory emphasises a fundamental symmetry of the delegation mechanism that is ignored by most object-oriented programming languages."concept0.718
• Diagrams spatialize semantic value into legible graphical systemsclaim0.712
  A diagram is an image that works by converting semantic relations into spatial organization, making meaning through form rather than content alone.
• Semantics might emancipate itself from its traditional focus on interpreting syntax and become a more autonomous study of the fundamental structures of Informatics.concept0.710
  Vision statement for Information Dynamics as emerging field transcending traditional computer science semantics.
• The information contained in the formal context is preserved.claim0.709
  Ganter's assertion that concept lattice transformation does not lose information from the original formal context.