Entailment Prediction

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

• Lexical Entailmentconcept0.752
  The semantic relation between words wp and wh (entails/neutral) used as an intermediate variable in the MoNLI high-level model.
• Contradiction Predictionconcept0.724
  NLI class indicating two sentences are semantically incompatible; weighted +1 in NLI Diversity scoring
• Gene Ontology Predictionconcept0.722
  Second evaluated task showing +8.4% AUC improvement with covariance pooling and unsupervised autoencoder embeddings.
• Prediction Errorconcept0.712
  Role in optimizing sensory states; unified treatment shows value-learning and perception share error-minimization principle.
• 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 relationclaim0.712
  Key asymmetry between hierarchical equality and NLI experiments; BERT stores identities rather than the abstract relation.
• Normative predictionsconcept0.709
  In active inference, predictions about what should be, held to motivate action; overflow leads to tanha.
• Neutral Predictionconcept0.706
  NLI class indicating neither entailment nor contradiction; weighted 0 in Baseline but +1 in Neutral NLI Diversity
• Entanglementconcept0.705
  Less hierarchical than embedment; multiple texts work into and out of each other, creating associations across levels and connecting any single text to the matrix of all others.