360 citations · 413 across the 29 of their papers we have counts for
9 papers · 1 filter
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…
How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling
Samuel Cahyawijaya, Bryan Wilie, Holy Lovenia +4
Large pre-trained language models (LMs) have been widely adopted in biomedical and clinical domains, introducing many powerful LMs such as bio-lm and BioELECTRA. However, the appli…
Every picture tells a story: Image-grounded controllable stylistic story generation
Holy Lovenia, Bryan Wilie, Romain Barraud +3
Generating a short story out of an image is arduous. Unlike image captioning, story generation from an image poses multiple challenges: preserving the story coherence, appropriatel…
What Did I Just Hear? Detecting Pornographic Sounds in Adult Videos Using Neural Networks
Holy Lovenia, Dessi Puji Lestari, Rita Frieske
Audio-based pornographic detection enables efficient adult content filtering without sacrificing performance by exploiting distinct spectral characteristics. To improve it, we expl…
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…
Clozer: Adaptable Data Augmentation for Cloze-style Reading Comprehension
Holy Lovenia, Bryan Wilie, Willy Chung +4
Task-adaptive pre-training (TAPT) alleviates the lack of labelled data and provides performance lift by adapting unlabelled data to downstream task. Unfortunately, existing adaptat…
Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset
Tiezheng Yu, Rita Frieske, Peng Xu +9
Automatic speech recognition (ASR) on low resource languages improves the access of linguistic minorities to technological advantages provided by artificial intelligence (AI). In t…
CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command Recognition
Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu +10
With the rise of deep learning and intelligent vehicle, the smart assistant has become an essential in-car component to facilitate driving and provide extra functionalities. In-car…