
Rahmad Mahendra
Universitas Indonesia, INACL
indonesian
machine translation
low-resource
multilingual
evaluation
benchmark
sentiment analysis
style
low-resource nlp
resource
large language model
parallel
dielect
register
dataset
5
presentations
SHORT BIO
Rahmad Mahendra is a research at Faculty of Computer Science, Universitas Indonesia. In past, he was a master student in the European Master in Language and Communication Technologies program and obtained degree from Rijksuniversiteit Groningen and Free University of Bozen Bolzano.
Rahmad's main research interests lie in the area of natural language processing and information extraction. Rahmad is interested in building language resources for Indonesian language. He is also interested in topics related to natural language inference, question answering, named-entity recognition, and word-sense disambiguation.
Presentations

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages
Holy Lovenia and 15 other authors

NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages
Genta Indra Winata and 9 other authors

One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia
Alham Fikri Aji and 10 other authors

IndoNLI: A Natural Language Inference Dataset for Indonesian
Rahmad Mahendra and 4 other authors

IndoNLI: A Natural Language Inference Dataset for Indonesian
Rahmad Mahendra and 4 other authors