Related references
Note: Only part of the references are listed.
Article
Computer Science, Information Systems
J. Briskilal et al.
Summary: This study proposes a predictive ensemble model for classifying idioms and literals using pre-trained BERT and RoBERTa models, which outperforms baseline models in terms of metrics such as F-score and accuracy, showing a 2% improvement in accuracy.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Article
Computer Science, Information Systems
Gongyao Jiang et al.
Summary: Researchers propose a knowledgeable prompt learning (KPL) method for fake news detection. By designing prompt templates and verbal words, and incorporating external knowledge, the KPL method outperforms traditional fine-tuning methods in fake news detection.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Article
Computer Science, Information Systems
Chindukuri Mallikarjuna et al.
Summary: Question classification is a crucial task in the Question Answering system. Existing methods require a large amount of labeled training data, while this paper proposes an approach that uses data augmentation to generate additional training instances. Experimental results demonstrate its effectiveness on two datasets.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Article
Computer Science, Theory & Methods
Connor Shorten et al.
Summary: In this paper, we discuss how Data Augmentation can aid in the development of Natural Language Processing, covering topics such as the motivation and specific frameworks of Data Augmentation, promising ideas yet to be tested, tools for implementation, and interesting topics around Data Augmentation.
JOURNAL OF BIG DATA
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Dominique Mercier et al.
Summary: This study introduces ImpactCite, an XLNet-based method for citation impact analysis, and presents a clean and reliable dataset for citation sentiment analysis. Evaluation results demonstrate that ImpactCite achieves significant performance improvements in citation intent and sentiment classification, suggesting its potential value in citation impact analysis.
ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2
(2021)
Article
Computer Science, Artificial Intelligence
Zhengbao Jiang et al.
TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS
(2020)