Extracting Psychological Indicators Using Question Answering
Luka Pavlović
In this work, we propose a method for extracting text spans that may indicate
one of the BIG5 psychological traits using a question-answering task with
examples that have no answer for the asked question. We utilized the RoBERTa
model fine-tuned on SQuAD 2.0 dataset. The model was further fine-tuned
utilizing comments from Reddit. We examined the effect of the percentage of
examples with no answer in the training dataset on the overall performance. The
results obtained in this study are in line with the SQuAD 2.0 benchmark and
present a good baseline for further research.