2022

TableFormer: Robust Transformer Modeling for Table-Text Encoding

Yang, Jingfeng, Gupta, Aditya, Upadhyay, Shyam et al.

Understand

Understanding tables is an important aspect of natural language understanding.

  • Existing models for table understanding require linearization of the table structure, where row or column order is encoded as an unwanted bias.
  • Such spurious biases make the model vulnerable to row and column order perturbations.
  • Additionally, prior work has not thoroughly modeled the table structures or table-text alignments, hindering the table-text understanding ability.

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