Search Results for author:
Found 4 papers, 4 papers with code
AxCell: Automatic Extraction of Results from Machine Learning Papers
Tracking progress in machine learning has become increasingly difficult with the recent explosion in the number of papers.
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
Pretrained language models are promising particularly for low-resource languages as they only require unlabelled data.
Ranked #1 on
Zero-shot Cross-Lingual Document Classification
on Cross-Lingual Sentiment (CLS)- English to German - DVD
Cross-Lingual Document Classification
Document Classification
+2
Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction
Our entry into the HAHA 2019 Challenge placed $3^{rd}$ in the classification task and $2^{nd}$ in the regression task.
Universal Language Model Fine-Tuning with Subword Tokenization for Polish
Universal Language Model for Fine-tuning [arXiv:1801. 06146] (ULMFiT) is one of the first NLP methods for efficient inductive transfer learning.
