Mastering Text Classification Cutting-Edge NLP Techniques /
This book provides cutting-edge natural language processing (NLP) techniques to unlock the power of text data. It presents advanced methods for various text classification tasks, like discourse relation classification, classification in large taxonomies, and leveraging disagreement between annotator...
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| Natura: | Elettronico eBook |
| Lingua: | inglese |
| Pubblicazione: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edizione: | 1st ed. 2025. |
| Serie: | Signals and Communication Technology,
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| Accesso online: | https://doi.org/10.1007/978-3-031-93612-8 |
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Sommario:
- Introduction
- Handling Realistic Label Noise in BERT Text Classification
- Discourse Relations Classification and Cross-Framework Discourse Relation Classification through the Lens of Cognitive Dimensions: An Empirical Investigation
- Representation Learning for Hierarchical Classification of Entity Titles
- DAP-LeR-DAug: Techniques for enhanced Online Sexism Detection
- Automatic Detection of Generalized Patterns of Vossian Antonomasia
- Exploring BERT Models for Part-of-Speech Tagging in the Algerian Dialect
- Deep Learning-Based Claim Matching with Multiple Negatives Training
- A Neural Network Approach to Ellipsis Detection in Ancient Greek
- Conclusion.