84 citations · 90 across the 4 of their papers we have counts for
4 papers
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding
Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang +2
We study the ability of transformer-based language models (LMs) to understand social media language. Social media (SM) language is distinct from standard written language, yet exis…
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis
Xiang Deng, Vasilisa Bashlovkina, Feng Han +2
Market sentiment analysis on social media content requires knowledge of both financial markets and social media jargon, which makes it a challenging task for human raters. The resu…
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
Yi Tay, Vinh Q. Tran, Sebastian Ruder +7
State-of-the-art models in natural language processing rely on separate rigid subword tokenization algorithms, which limit their generalization ability and adaptation to new settin…
A Generative Approach to Titling and Clustering Wikipedia Sections
Anjalie Field, Sascha Rothe, Simon Baumgartner +2
We evaluate the performance of transformer encoders with various decoders for information organization through a new task: generation of section headings for Wikipedia articles. Ou…