24 citations · 55 across the 21 of their papers we have counts for
3 papers · 1 filter
Pseudo-labelling Enhanced Media Bias Detection
Qin Ruan, Brian Mac Namee, Ruihai Dong
Leveraging unlabelled data through weak or distant supervision is a compelling approach to developing more effective text classification models. This paper proposes a simple but ef…
A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data
Jinghui Lu, Maeve Henchion, Ivan Bacher +1
Training deep learning models with limited labelled data is an attractive scenario for many NLP tasks, including document classification. While with the recent emergence of BERT, d…
Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets
Jinghui Lu, Maeve Henchion, Brian Mac Namee
Manually labelling large collections of text data is a time-consuming, expensive, and laborious task, but one that is necessary to support machine learning based on text datasets.…