On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining

Keyphrases

• Text Mining 100%
• Pre-trained Language Model 100%
• Pre-trained Text Representations 100%
• Text Representation Model 100%
• Specific Model 66%
• Unsupervised Learning 66%
• Language Model 66%
• Text Corpus 66%
• Text Linguistics 66%
• Pre-trained Text Embedding 66%
• Text-embedding Models 66%
• Recent Advances 33%
• Learning Approaches 33%
• Domain-independent 33%
• Language-agnostic 33%
• Text Analysis 33%
• Embedding Method 33%
• Linguistic Features 33%
• Text Classification 33%
• Natural Language Processing 33%
• Language Representation 33%
• Annotation Burden 33%
• Neural Model 33%
• Structured Knowledge 33%
• Transformer-based 33%
• Word Embedding 33%
• Human Annotation 33%
• Downstream Task 33%
• Topic Discovery 33%
• Text Mining Application 33%
• Text Embedding 33%
• Universal Language 33%
• Word Embedding Learning 33%
• Text Representation Learning 33%
• Low-dimensional Vectors 33%
• Early Words 33%

Computer Science

• Text Mining 100%
• Text Representation 100%
• Representation Model 100%
• Pre-Trained Language Models 75%
• Language Modeling 50%
• Word Embedding 50%
• Annotation 25%
• Natural Language Processing 25%
• Learning Approach 25%
• Representation Learning 25%
• Text Classification 25%
• Embedding Method 25%
• Related Application 25%
• Representation Language 25%
• Dimensional Vector 25%