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Found 8 papers, 1 papers with code
Discovering Financial Hypernyms by Prompting Masked Language Models
With the rising popularity of Transformer-based language models, several studies have tried to exploit their masked language modeling capabilities to automatically extract relational linguistic knowledge, although this kind of research has rarely investigated semantic relations in specialized domains.
Is Domain Adaptation Worth Your Investment? Comparing BERT and FinBERT on Financial Tasks
With the recent rise in popularity of Transformer models in Natural Language Processing, research efforts have been dedicated to the development of domain-adapted versions of BERT-like architectures.
HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic Features
Eye movement data are used in psycholinguistic studies to infer information regarding cognitive processes during reading.
Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking features
We explore differences in language use and turn-taking dynamics and identify a range of characteristics that set the categories apart.
