We propose the use of conversational GPT models for easy and quick few-s...
In the era of billion-parameter-sized Language Models (LMs), start-ups h...
Non-hierarchical sparse attention Transformer-based models, such as
Long...
We study the effect of seven data augmentation (da) methods in factoid
q...
Publicly traded companies are required to submit periodic reports with
e...
We release EDGAR-CORPUS, a novel corpus comprising annual reports from a...
Interpretability or explainability is an emerging research field in NLP....
Major scandals in corporate history have urged the need for regulatory
c...
We investigate contract element extraction. We show that LSTM-based enco...
Although BERT is widely used by the NLP community, little is known about...
BERT has achieved impressive performance in several NLP tasks. However, ...
Large-scale Multi-label Text Classification (LMTC) has a wide range of
N...
Transformer-based language models, such as BERT and its variants, have
a...
We propose SumQE, a novel Quality Estimation model for summarization bas...
We consider Large-Scale Multi-Label Text Classification (LMTC) in the le...
We consider the task of Extreme Multi-Label Text Classification (XMTC) i...
Experimenting with a dataset of approximately 1.6M user comments from a ...
Experimenting with a new dataset of 1.6M user comments from a Greek news...
Paraphrasing methods recognize, generate, or extract phrases, sentences,...