ELASTIC: numerical reasoning with adaptive symbolic compiler

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

Numerical reasoning over text is a challenging task of Artificial Intelligence (AI), requiring reading comprehension and numerical reasoning abilities. Previous approaches use numerical reasoning programs to represent the reasoning process. However, most works do not separate the generation of operators and operands, which are key components of a numerical reasoning program, thus limiting their ability to generate such programs for complicated tasks. In this paper, we introduce the numEricaL reASoning with adapTive symbolIc Compiler (ELASTIC) model, which is constituted of the RoBERTa as the Encoder and a Compiler with four modules: Reasoning Manager, Operator Generator, Operands Generator, and Memory Register. ELASTIC is robust when conducting complicated reasoning. Also, it is domain agnostic by supporting the expansion of diverse operators without caring about the number of operands it contains. Experiments show that ELASTIC achieves 68.96 and 65.21 of execution accuracy and program accuracy on the FinQA dataset and 83.00 program accuracy on the MathQA dataset, outperforming previous state-of-the-art models significantly
Original languageEnglish
Title of host publicationAdvances in Neural Information Processing Systems 35
Subtitle of host publication36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Place of PublicationRed Hook, NY
Number of pages20
ISBN (Electronic)9781713873129
Publication statusPublished - 9 Dec 2022
Event36th Conference on Neural Information Processing Systems, NeurIPS 2022 - New Orleans, United States
Duration: 28 Nov 20229 Dec 2022

Conference

Conference36th Conference on Neural Information Processing Systems, NeurIPS 2022
Country/TerritoryUnited States
CityNew Orleans
Period28/11/229/12/22

Keywords

  • numerical reasoning
  • artificial intelligence (AI)
  • ELASTIC model

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