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Combining Neural Link Predictor, Numerical Literal Predictor under LitCQD, #160

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Demirrr opened this issue Sep 27, 2023 · 1 comment

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@Demirrr
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Demirrr commented Sep 27, 2023

Inputs

  1. Train a neural link predictor (e.g. KECI)
  2. Numerical literal predictor (e.g. LiteralE or design a new one with us :) )

Combine (1) and (2) under LitCQD model/framework to tackle approximate query answering involving numerical literals.

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@Demirrr
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Demirrr commented Dec 1, 2023

Training a model with byte_pair_encoding should lessen/mitigate this need. Needs to be validated

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