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Found 8 papers, 3 papers with code
BERT Goes Brrr: A Venture Towards the Lesser Error in Classifying Medical Self-Reporters on Twitter
This paper describes our team’s submission for the Social Media Mining for Health (SMM4H) 2021 shared task.
Cross-Lingual and Supervised Learning Approach for Indonesian Word Sense Disambiguation Task
Ambiguity is a problem we frequently face in Natural Language Processing.
COPAL-ID: Indonesian Language Reasoning with Local Culture and Nuances
Unlike the previous Indonesian COPA dataset (XCOPA-ID), COPAL-ID incorporates Indonesian local and cultural nuances, and therefore, provides a more natural portrayal of day-to-day causal reasoning within the Indonesian cultural sphere.
On "Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research
This evidence-based position paper critiques current research practices within the language model pre-training literature.
Which Student is Best? A Comprehensive Knowledge Distillation Exam for Task-Specific BERT Models
We perform knowledge distillation (KD) benchmark from task-specific BERT-base teacher models to various student models: BiLSTM, CNN, BERT-Tiny, BERT-Mini, and BERT-Small.
Costs to Consider in Adopting NLP for Your Business
Recent advances in Natural Language Processing (NLP) have largely pushed deep transformer-based models as the go-to state-of-the-art technique without much regard to the production and utilization cost.
Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation
In this work, we address a style-transfer from informal to formal Indonesian as a low-resource machine translation problem.
