Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Septiandri, Ali Akbar"'
Translational research, especially in the fast-evolving field of Artificial Intelligence (AI), is key to converting scientific findings into practical innovations. In Responsible AI (RAI) research, translational impact is often viewed through various
Externí odkaz:
http://arxiv.org/abs/2407.15647
Much of the research in social computing analyzes data from social media platforms, which may inherently carry biases. An overlooked source of such bias is the over-representation of WEIRD (Western, Educated, Industrialized, Rich, and Democratic) pop
Externí odkaz:
http://arxiv.org/abs/2406.02090
An occupation is comprised of interconnected tasks, and it is these tasks, not occupations themselves, that are affected by AI. To evaluate how tasks may be impacted, previous approaches utilized manual annotations or coarse-grained matching. Leverag
Externí odkaz:
http://arxiv.org/abs/2312.04714
Studies conducted on Western, Educated, Industrialized, Rich, and Democratic (WEIRD) samples are considered atypical of the world's population and may not accurately represent human behavior. In this study, we aim to quantify the extent to which the
Externí odkaz:
http://arxiv.org/abs/2305.06415
Autor:
Cahyawijaya, Samuel, Lovenia, Holy, Aji, Alham Fikri, Winata, Genta Indra, Wilie, Bryan, Mahendra, Rahmad, Wibisono, Christian, Romadhony, Ade, Vincentio, Karissa, Koto, Fajri, Santoso, Jennifer, Moeljadi, David, Wirawan, Cahya, Hudi, Frederikus, Parmonangan, Ivan Halim, Alfina, Ika, Wicaksono, Muhammad Satrio, Putra, Ilham Firdausi, Rahmadani, Samsul, Oenang, Yulianti, Septiandri, Ali Akbar, Jaya, James, Dhole, Kaustubh D., Suryani, Arie Ardiyanti, Putri, Rifki Afina, Su, Dan, Stevens, Keith, Nityasya, Made Nindyatama, Adilazuarda, Muhammad Farid, Ignatius, Ryan, Diandaru, Ryandito, Yu, Tiezheng, Ghifari, Vito, Dai, Wenliang, Xu, Yan, Damapuspita, Dyah, Tho, Cuk, Karo, Ichwanul Muslim Karo, Fatyanosa, Tirana Noor, Ji, Ziwei, Fung, Pascale, Neubig, Graham, Baldwin, Timothy, Ruder, Sebastian, Sujaini, Herry, Sakti, Sakriani, Purwarianti, Ayu
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources. Through this initiative, we have brought together 137 datasets and 118 sta
Externí odkaz:
http://arxiv.org/abs/2212.09648
Score-based algorithms for tuberculosis (TB) verbal screening perform poorly, causing misclassification that leads to missed cases and unnecessary costly laboratory tests for false positives. We compared score-based classification defined by clinicia
Externí odkaz:
http://arxiv.org/abs/2011.07396
Embryo quality assessment after in vitro fertilization (IVF) is primarily done visually by embryologists. Variability among assessors, however, remains one of the main causes of the low success rate of IVF. This study aims to develop an automated emb
Externí odkaz:
http://arxiv.org/abs/2008.12480
We describe our third-place solution to the UKARA 1.0 challenge on automated essay scoring. The task consists of a binary classification problem on two datasets | answers from two different questions. We ended up using two different models for the tw
Externí odkaz:
http://arxiv.org/abs/2002.12540
Aspect and opinion term extraction is a critical step in Aspect-Based Sentiment Analysis (ABSA). Our study focuses on evaluating transfer learning using pre-trained BERT (Devlin et al., 2018) to classify tokens from hotel reviews in bahasa Indonesia.
Externí odkaz:
http://arxiv.org/abs/1909.11879
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 reviews, we adapt double embeddings feature and attention mechanism th
Externí odkaz:
http://arxiv.org/abs/1908.04899