Search Results for author: Ronald Seoh

Found 3 papers, 3 papers with code

Open Aspect Target Sentiment Classification with Natural Language Prompts

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.

Classification Sentiment Analysis

Solving Bayesian Network Structure Learning Problem with Integer Linear Programming

1 code implementation6 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.

Qualitative Analysis of Monte Carlo Dropout

1 code implementation3 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.

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