Crowdsourced Text Aggregation

Crowdsourced Text Aggregation is an important sub-task in natural language processing, aiming to extract accurate information from conflicting texts provided by multiple crowd workers. This task achieves the inference of true information from text outputs of crowdsourcing tasks such as audio transcription, translation, and character recognition by aggregating opinions from different sources, thereby enhancing data quality and reliability, and possessing significant application value.