Datasets
By S. Stowell. 2021
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sebastian Gehrmann
- Yi Tay
- Jesse Vig
- Mostafa Dehghani
- Mohit Bansal
- Sebastian Ruder
- Nazneen Rajani
- Wojciech Kryscinski
Citations in the corpus
- Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks (2021, methodology): “Experimental details: We use the HuggingFace implementation (Wolf et al., 2020a) of the T5 model (Raffel et al., 2020).”
- Transformer Hawkes Process (2020, background): “• StackOverflow (Leskovec and Krevl, 2014): StackOverflow is a question-answering website.”
- Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction (2019, methodology): “We would like to also emphasize the difference from the traditional building shape extraction problem [1], which represents a building as a set of pixels.”
- Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations (2023, background): “Human emotions can play a key role in detecting physiological conditions like fatigue [6], drowsiness [7], depression [3], and pain [8].”
- SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization (2021, methodology): “Software tooling for NLP research provides a plethora of mature and easy-to-use libraries for model development, such as PyTorch (Paszke et al., 2019) or Transform-ers (Wolf et al., 2020a), but offers disproportion-Document”
- Automatic Construction of Evaluation Suites for Natural Language Generation Datasets (2021, methodology): “Our framework generates the Transformation sets in a consistent format compatible with existing data loading frameworks like HuggingFace Datasets [31] and we built support for subpopulations directly into our evaluation framework.”