630 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institute for Basic ScienceKR23 papers
- National Research and Innovation AgencyID23 papers
- Sejong UniversityKR23 papers
- Seoul National UniversityKR23 papers
- University of IndonesiaID22 papers
- Korea Research Institute of Standards and ScienceKR21 papers
- Kyungpook National UniversityKR21 papers
- The University of TokyoJP21 papers
- Ewha Womans UniversityKR20 papers
- Sungkyunkwan UniversityKR20 papers
- Yale UniversityUS19 papers
- Korea University of Science and TechnologyKR18 papers
18 papers · 1 filter
Indonesian-English Code-Switching Speech Synthesizer Utilizing Multilingual STEN-TTS and Bert LID
Ahmad Alfani Handoyo, Chung Tran, Dessi Puji Lestari +1
Multilingual text-to-speech systems convert text into speech across multiple languages. In many cases, text sentences may contain segments in different languages, a phenomenon know…
Enhancing Natural Language Inference Performance with Knowledge Graph for COVID-19 Automated Fact-Checking in Indonesian Language
Arief Purnama Muharram, Ayu Purwarianti
Automated fact-checking is a key strategy to overcome the spread of COVID-19 misinformation on the internet. These systems typically leverage deep learning approaches through Natur…
Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage
Isidora Chara Tourni, Lei Guo, Hengchang Hu +9
News media structure their reporting of events or issues using certain perspectives. When describing an incident involving gun violence, for example, some journalists may focus on…
QASiNa: Religious Domain Question Answering using Sirah Nabawiyah
Muhammad Razif Rizqullah, Ayu Purwarianti, Alham Fikri Aji
Nowadays, Question Answering (QA) tasks receive significant research focus, particularly with the development of Large Language Model (LLM) such as Chat GPT [1]. LLM can be applied…
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…
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…
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…
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…
Sequence-to-Sequence Learning for Indonesian Automatic Question Generator
Ferdiant Joshua Muis, Ayu Purwarianti
Automatic question generation is defined as the task of automating the creation of question given a various of textual data. Research in automatic question generator (AQG) has been…
Improving Joint Layer RNN based Keyphrase Extraction by Using Syntactical Features
Miftahul Mahfuzh, Sidik Soleman, Ayu Purwarianti
Keyphrase extraction as a task to identify important words or phrases from a text, is a crucial process to identify main topics when analyzing texts from a social media platform. I…
Combining Word and Character Vector Representation on Neural Machine Translation
K. M. Shahih, Ayu Purwarianti
This paper describes combinations of word vector representation and character vector representation in English-Indonesian neural machine translation (NMT). Six configurations of NM…
Improving Bi-LSTM Performance for Indonesian Sentiment Analysis Using Paragraph Vector
Ayu Purwarianti, Ida Ayu Putu Ari Crisdayanti
Bidirectional Long Short-Term Memory Network (Bi-LSTM) has shown promising performance in sentiment classification task. It processes inputs as sequence of information. Due to this…
Improving Indonesian Text Classification Using Multilingual Language Model
Ilham Firdausi Putra, Ayu Purwarianti
Compared to English, the amount of labeled data for Indonesian text classification tasks is very small. Recently developed multilingual language models have shown its ability to cr…
Investigating Bi-LSTM and CRF with POS Tag Embedding for Indonesian Named Entity Tagger
Devin Hoesen, Ayu Purwarianti
Researches on Indonesian named entity (NE) tagger have been conducted since years ago. However, most did not use deep learning and instead employed traditional machine learning alg…
Coreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural Network
Turfa Auliarachman, Ayu Purwarianti
Neural network has shown promising performance on coreference resolution systems that uses mention pair method. With deep neural network, it can learn hidden and deep relations bet…
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…
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…
Indonesian Social Media Sentiment Analysis With Sarcasm Detection
Edwin Lunando, Ayu Purwarianti
Sarcasm is considered one of the most difficult problem in sentiment analysis. In our ob-servation on Indonesian social media, for cer-tain topics, people tend to criticize somethi…