activity
20182021
most citedHandling Imbalanced Dataset in Multi-label Text Categorization using Bagging and Adaptive Boosting

15 citations · 21 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2021

IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation

Samuel Cahyawijaya, Genta Indra Winata, Bryan Wilie +9

Natural language generation (NLG) benchmarks provide an important avenue to measure progress and develop better NLG systems. Unfortunately, the lack of publicly available NLG bench…

cs.CL2021

Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article

Yuly Haruka Berliana Gunawan, Masayu Leylia Khodra

In this paper, we proposed a multi-document summarization system using semantic role labeling (SRL) and semantic graph for Indonesian news articles. In order to improve existing su…

cs.CL2021

Fine-tuning Pretrained Multilingual BERT Model for Indonesian Aspect-based Sentiment Analysis

Annisa Nurul Azhar, Masayu Leylia Khodra

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 w…

cs.CL2021

Parsing Indonesian Sentence into Abstract Meaning Representation using Machine Learning Approach

Adylan Roaffa Ilmy, Masayu Leylia Khodra

Abstract Meaning Representation (AMR) provides many information of a sentence such as semantic relations, coreferences, and named entity relation in one representation. However, re…

cs.CL2019★ 1 cited

Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews

Jordhy Fernando, Masayu Leylia Khodra, Ali Akbar Septiandri

Aspect and opinion terms extraction from review texts is one of the key tasks in aspect-based sentiment analysis. In order to extract aspect and opinion terms for Indonesian hotel…

cs.DB2019★ 4 cited

A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base

Wahyudi, Masayu Leylia Khodra, Ary Setijadi Prihatmanto +1

A question answering system (QA System) was developed that uses graph-pattern association rules on the YAGO knowledge base. The answer as output of the system is provided based on…

cs.CL2018★ 15 cited

Handling Imbalanced Dataset in Multi-label Text Categorization using Bagging and Adaptive Boosting

Genta Indra Winata, Masayu Leylia Khodra

Imbalanced dataset is occurred due to uneven distribution of data available in the real world such as disposition of complaints on government offices in Bandung. Consequently, mult…

cs.DB2018★ 1 cited

Using Graph-Pattern Association Rules On Yago Knowledge Base

Wahyudi, Masayu Leylia Khodra, Ary Setijadi Prihatmanto +1

We propose the use of Graph-Pattern Association Rules (GPARs) on the Yago knowledge base. Extending association rules for itemsets, GPARS can help to discover regularities between…