Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification

• DOI: 10.18653/v1/2020.coling-main.466
• Publication Date: 2021-01-08T13:58:31Z
• Authors: Qi Shi; Yu Zhang; Qingyu Yin; Ting Liu
• Keywords: ENCODE; Conceptual graph

Table-based fact verification is expected to perform both linguistic reasoning and symbolic reasoning. Existing methods lack attention take advantage of the combination information information. In this work, we propose HeterTFV, a graph-based approach, that learns combine effectively. We first construct program graph encode programs, kind LISP-like logical form, learn semantic compositionality programs. Then heterogeneous incorporate by introducing nodes into graph. Finally, approach reason over multiple types make an effective Experimental results on large-scale benchmark dataset TABFACT illustrate effect our approach.