In recent years, Transformer-based language models have become the stand...
Limited computational budgets often prevent transformers from being used...
The extraction of aspect terms is a critical step in fine-grained sentim...
Recent few-shot methods, such as parameter-efficient fine-tuning (PEFT) ...
The remarkable success of large transformer-based models such as BERT,
R...
Limited computational budgets often prevent transformers from being used...
Transformer-based language models are applied to a wide range of applica...
Training models on low-resource named entity recognition tasks has been ...
Recently, pre-trained Transformer based language models such as BERT and...
We present ABSApp, a portable system for weakly-supervised aspect-based
...
In this paper, we present a novel algorithm that combines multi-context ...
We present SetExpander, a corpus-based system for expanding a seed set o...
We present SetExpander, a corpus-based system for expanding a seed set o...