Grammar as Positional Encoding for Language

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

• Position Encodingsconcept0.848
  Mechanism for encoding sequence order in transformers; paper argues these should reflect learned structural representations rather than fixed sines/cosines.
• Recurrent Position Encodingsmethod0.787
  Key modification to transformers proposed in this paper: position encodings generated by a recurrent network trained on action sequences.
• Position encodings should represent location in a learned structure inferred on the fly rather than fixed sines and cosinesclaim0.777
  Novel interpretive claim about position encodings inspired by the TEM-transformer correspondence.
• intertwining of grammar and meaningconcept0.761
  Ambiguity can affect both syntax and semantics, making disambiguation difficult
• Sentence Localization Taskmethod0.749
  Novel task asking which of 10 sentences received injection, cycling injection through all positions to average out positional bias
• Positional Informationconcept0.748
  The biological mechanism by which chemical gradients create developmental patterns; cited as insufficient to explain coherence of embryological unfolding as a whole
• Shape Grammarsframework0.746
  A computational design method based on shape rewriting rules, developed by George Stiny; noted as academic and not yet practically useful for living structure.
• Shape Grammarmethod0.746