61 citations · 152 across the 21 of their papers we have counts for
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Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
Aleksandra Edwards, Asahi Ushio, Jose Camacho-Collados +2
Data augmentation techniques are widely used for enhancing the performance of machine learning models by tackling class imbalance issues and data sparsity. State-of-the-art generat…
Distilling Relation Embeddings from Pre-trained Language Models
Asahi Ushio, Jose Camacho-Collados, Steven Schockaert
Pre-trained language models have been found to capture a surprisingly rich amount of lexical knowledge, ranging from commonsense properties of everyday concepts to detailed factual…
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
Asahi Ushio, Luis Espinosa-Anke, Steven Schockaert +1
Analogies play a central role in human commonsense reasoning. The ability to recognize analogies such as "eye is to seeing what ear is to hearing", sometimes referred to as analogi…
Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction
Asahi Ushio, Federico Liberatore, Jose Camacho-Collados
Term weighting schemes are widely used in Natural Language Processing and Information Retrieval. In particular, term weighting is the basis for keyword extraction. However, there a…