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Found 7 papers, 1 papers with code
IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation
Natural language generation (NLG) benchmarks provide an important avenue to measure progress and develop better NLG systems.
Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article
The decision tree model is employed to identify important PAS.
Fine-tuning Pretrained Multilingual BERT Model for Indonesian Aspect-based Sentiment Analysis
Although previous research on Aspect-based Sentiment Analysis (ABSA) for Indonesian reviews in hotel domain has been conducted using CNN and XGBoost, its model did not generalize well in test data and high number of OOV words contributed to misclassification cases.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
Parsing Indonesian Sentence into Abstract Meaning Representation using Machine Learning Approach
Pair prediction uses dependency parsing component to get the edges between the words for the AMR.
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.
A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base
A question answering system (QA System) was developed that uses graph-pattern association rules on the YAGO knowledge base.
Handling Imbalanced Dataset in Multi-label Text Categorization using Bagging and Adaptive Boosting
The result is evaluated with four evaluation metrics such as hamming loss, subset accuracy, example-based accuracy and micro-averaged f-measure.
