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Found 8 papers, 1 papers with code
Knowing Right from Wrong: Should We Use More Complex Models for Automatic Short-Answer Scoring in Bahasa Indonesia?
We compare three solutions to UKARA 1. 0 challenge on automated short-answer scoring: single classical, ensemble classical, and deep learning.
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Verbal Screening
As such, the sensitivity of our identifier increased by 1. 26% while specificity increased by 13. 19% in absolute value compared to the traditional score-based method defined by our clinicians.
Human Blastocyst Classification after In Vitro Fertilization Using Deep Learning
This study aims to develop an automated embryo assessment based on a deep learning model.
UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia
We describe our third-place solution to the UKARA 1. 0 challenge on automated essay scoring.
Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels
By utilizing transfer learning from a multilingual model, we achieved up to 2% difference on token level F1-score compared to the state-of-the-art Bi-LSTM model with fewer training epochs (3 vs. 200 epochs).
Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews
In order to extract aspect and opinion terms for Indonesian hotel reviews, we adapt double embeddings feature and attention mechanism that outperform the best system at SemEval 2015 and 2016.
Predicting the Gender of Indonesian Names
We investigated a way to predict the gender of a name using character-level Long-Short Term Memory (char-LSTM).
BIG-bench Machine Learning
Cultural Vocal Bursts Intensity Prediction
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