research
∙
05/19/2022
Are Prompt-based Models Clueless?
Finetuning large pre-trained language models with a task-specific head h...
share
research
∙
02/12/2021
Two Training Strategies for Improving Relation Extraction over Universal Graph
This paper explores how the Distantly Supervised Relation Extraction (DS...
research
∙
01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
research
∙
11/03/2020
Modeling Event Salience in Narratives via Barthes' Cardinal Functions
Events in a narrative differ in salience: some are more important to the...
research
∙
11/02/2020
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution
One critical issue of zero anaphora resolution (ZAR) is the scarcity of ...
research
∙
04/30/2020
Word Rotator's Distance: Decomposing Vectors Gives Better Representations
One key principle for assessing semantic similarity between texts is to ...
research
∙
11/22/2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Deep convolutional neural networks (CNNs) have achieved remarkable resul...
research
∙
05/24/2018