Predicting Subjective Features from Questions on QA Websites using BERT

ICWR 2020 Issa AnnamoradnejadMohammadamin FazliJafar Habibi

Community Question-Answering websites, such as StackOverflow and Quora, expect users to follow specific guidelines in order to maintain content quality. These systems mainly rely on community reports for assessing contents, which has serious problems such as the slow handling of violations, the loss of normal and experienced users' time, the low quality of some reports, and discouraging feedback to new users... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Community Question Answering CrowdSource QA BERT MSE 0.046 # 1
Common Sense Reasoning CrowdSource QA BERT MSE 0.046 # 1
Question Quality Assessment CrowdSource QA BERT MSE 0.046 # 1
Reading Comprehension CrowdSource QA BERT MSE 0.046 # 1

Methods used in the Paper