profile picture

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

Stay up to date with the latest Underline news!

Select topic of interest (you can select more than one)

PRESENTATIONS

  • All Presentations
  • For Librarians
  • Resource Center
  • Free Trial
Underline Science, Inc.
1216 Broadway, 2nd Floor, New York, NY 10001, USA

© 2025 Underline - All rights reserved