Automated Fact-checking:Enhancing Claim-Evidence Relevance Prediction in Information Retrieval
The increasing number of unfounded claims in climate science discussions may mislead the public and affect policy-making.Therefore,this article proposes an automatic fact checking system that combines keyword matching,BM25,point by point sentence retrieval,and LSTM technology.This model aims to improve the accuracy of evidence verification by utilizing advanced data processing and machine learning techniques.
inverted indexnegative miningmachine learningnatural language processingfact checking
万方数据
维普
