In this paper, we propose document-level end-to-end sentiment analysis t...
Algorithmic interpretability is necessary to build trust, ensure fairnes...
py-irt is a Python library for fitting Bayesian Item Response Theory (IR...
Curriculum learning methods typically rely on heuristics to estimate the...
Expanding new functionalities efficiently is an ongoing challenge for
si...
Incorporating Item Response Theory (IRT) into NLP tasks can provide valu...
Item Response Theory (IRT) allows for measuring ability of Machine Learn...
Deep neural networks (DNNs) have made significant progress in a number o...
Evaluation of NLP methods requires testing against a previously vetted
g...