A Data-Centric Contrastive Embedding Framework for Contextomized Quote Detection
Quotations are essential in lending credibility to news articles. A direct quote, typically enclosed in quotation marks, not only stands out visually but also indicates a reliable source. However, there is a practice known as ‘contextomizing,’ where words are extracted from the...
Main Authors: | Seonyeong Song, Jiyoung Han, Kunwoo Park |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10472505/ |
Similar Items
-
Opportunities and Challenges in Data-Centric AI
by: Sushant Kumar, et al.
Published: (2024-01-01) -
Philosophical theories of truth and the logical status of intra-Biblical fallacies of contextomy
by: J. W. Gericke
Published: (2009-07-01) -
Data-Centric and Model-Centric AI: Twin Drivers of Compact and Robust Industry 4.0 Solutions
by: Oussama H. Hamid
Published: (2023-02-01) -
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
by: Sidra Nasir, et al.
Published: (2024-01-01) -
The ASR Post-Processor Performance Challenges of BackTranScription (BTS): Data-Centric and Model-Centric Approaches
by: Chanjun Park, et al.
Published: (2022-10-01)