Dan John Velasco
Scholar

Dan John Velasco

Google Scholar ID: hCTQJToAAAAJ
Samsung Research Philippines
Natural Language ProcessingDeep Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
126
 
H-index
5
 
i10-index
2
 
Publications
13
 
Co-authors
0
 
Contact
Emaildan_velasco@dlsu.edu.phGitHubOpen ↗LinkedInOpen ↗
Publications
5 items
Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining
2025
Cited
0
Scaling, Simplification, and Adaptation: Lessons from Pretraining on Machine-Translated Text
2025
Cited
0
Rethinking the Role of Text Complexity in Language Model Pretraining
2025
Cited
0
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia
2025
Cited
0
SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages
Conference on Empirical Methods in Natural Language Processing · 2024
Cited
6
Resume (English only)
Academic Achievements
  • 1. Filipino ULMFiT Project: Published paper and code
  • 2. DRMS Project: Developed using vue.js, firebase, and vuetify
Research Experience
  • 1. Filipino ULMFiT: A pre-trained AWD LSTM language model on the Filipino text corpus using fastai v2, which can be used for any text classification task in Filipino. Includes a benchmark paper and code.
  • 2. Disaster Relief Monitoring System (DRMS): Aids disaster response teams in communicating and documenting relief operations data to the public, simplifying the process of updating the data and keeping track of changes.
Background
  • Your lowly computer guy; Skills include fastai, NLP, terminal commands, writing, DRMS, etc.
Miscellany
  • Personal interests or hobbies not mentioned
Co-authors
0 total
Co-authors: 0 (list not available)