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Our model achieves 75.3% accuracy in predicting whether an interviewee should be hired on the ETS Job Interview dataset. Our approach can be extended to ...
Abstract—There has been a rise in automated technologies to screen potential job applicants through affective signals captured from video-based interviews.
Our model achieves 75.3% accuracy in predicting whether an interviewee should be hired on the ETS Job Interview dataset. Our approach can be extended to ...
Our model achieves. 75.3% accuracy in predicting whether an interviewee should be hired on the ETS Job Interview dataset. Our approach can be extended to ...
In this paper I discuss a goal-directed framework for reasoning in first-order logic based on conditions. It is proposed an interpretation of these conditions ...
HirePreter: A Framework for Providing Fine-grained Interpretation for Automated Job Interview Analysis. W Rahman*, S Mahbub*, A Salekin, MK Hasan, E Hoque.
This research will make contributions on designing live feedback that is effective yet not distractive. Project findings will also be applicable in the context ...
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Hirepreter: A framework for providing fine-grained interpretation for automated job interview analysis. W Rahman, S Mahbub, A Salekin, MK Hasan, E Hoque. 2021 ...
This paper is a write-up for the tutorial on "Fine-grained Interpretation and Causation Analysis in Deep NLP Models" that we are presenting at NAACL 2021.
Feb 8, 2024 · Hoque, “HirePreter: A framework for providing fine-grained interpretation for automated job interview analysis,” in Proc. 9th Int. Conf ...