LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network

ACL 2020 Wanjun ZhongDuyu TangZhangyin FengNan DuanMing ZhouMing GongLinjun ShouDaxin JiangJiahai WangJian Yin

Verifying the correctness of a textual statement requires not only semantic reasoning about the meaning of words, but also symbolic reasoning about logical operations like count, superlative, aggregation, etc. In this work, we propose LogicalFactChecker, a neural network approach capable of leveraging logical operations for fact checking... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet