1 code implementation • 8 Sep 2023 • Ronald Seoh, Haw-Shiuan Chang, Andrew McCallum
Many useful tasks on scientific documents, such as topic classification and citation prediction, involve corpora that span multiple scientific domains.
1 code implementation • EMNLP 2021 • Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough
For many business applications, we often seek to analyze sentiments associated with any arbitrary aspects of commercial products, despite having a very limited amount of labels or even without any labels at all.
1 code implementation • 6 Jul 2020 • Ronald Seoh
We review the definition and key properties of Bayesian network and explain score metrics used to measure how well certain Bayesian network structure fits the dataset.
1 code implementation • 3 Jul 2020 • Ronald Seoh
In this report, we present qualitative analysis of Monte Carlo (MC) dropout method for measuring model uncertainty in neural network (NN) models.