193 citations · 393 across the 19 of their papers we have counts for
19 papers
IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages
Muhammad Farid Adilazuarda, Samuel Cahyawijaya, Genta Indra Winata +2
Significant progress has been made on Indonesian NLP. Nevertheless, exploration of the code-mixing phenomenon in Indonesian is limited, despite many languages being frequently mixe…
The Obscure Limitation of Modular Multilingual Language Models
Muhammad Farid Adilazuarda, Samuel Cahyawijaya, Ayu Purwarianti
We expose the limitation of modular multilingual language models (MLMs) in multilingual inference scenarios with unknown languages. Existing evaluations of modular MLMs exclude the…
NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages
Samuel Cahyawijaya, Holy Lovenia, Fajri Koto +15
Democratizing access to natural language processing (NLP) technology is crucial, especially for underrepresented and extremely low-resource languages. Previous research has focused…
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji +44
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources. Thro…
Sequential Labelling and DNABERT For Splice Site Prediction in Homo Sapiens DNA
Muhammad Anwari Leksono, Ayu Purwarianti
Genome sequencing technology has improved significantly in few last years and resulted in abundance genetic data. Artificial intelligence has been employed to analyze genetic data…
NusaCrowd: A Call for Open and Reproducible NLP Research in Indonesian Languages
Samuel Cahyawijaya, Alham Fikri Aji, Holy Lovenia +8
At the center of the underlying issues that halt Indonesian natural language processing (NLP) research advancement, we find data scarcity. Resources in Indonesian languages, especi…
Speech Artifact Removal from EEG Recordings of Spoken Word Production with Tensor Decomposition
Holy Lovenia, Hiroki Tanaka, Sakriani Sakti +2
Research about brain activities involving spoken word production is considerably underdeveloped because of the undiscovered characteristics of speech artifacts, which contaminate e…
A Comparative Study on Language Models for Task-Oriented Dialogue Systems
Vinsen Marselino Andreas, Genta Indra Winata, Ayu Purwarianti
The recent development of language models has shown promising results by achieving state-of-the-art performance on various natural language tasks by fine-tuning pretrained models.…
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…
IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding
Bryan Wilie, Karissa Vincentio, Genta Indra Winata +8
Although Indonesian is known to be the fourth most frequently used language over the internet, the research progress on this language in the natural language processing (NLP) is sl…
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…
Relation Detection for Indonesian Language using Deep Neural Network -- Support Vector Machine
Ramos Janoah Hasudungan, Ayu Purwarianti
Relation Detection is a task to determine whether two entities are related or not. In this paper, we employ neural network to do relation detection between two named entities for I…
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…
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…