Adapting sequence to sequence models for text normalization in social media

Keyphrases

• Social Media 100%
• Sequence-to-sequence Model 100%
• Text Normalization 100%
• Online Users 40%
• User-generated Text 40%
• Processing Task 20%
• Contextual Information 20%
• Similarity Model 20%
• Neural Architecture 20%
• Preprocessing Techniques 20%
• Classification Model 20%
• Canonical Form 20%
• Natural Language Processing 20%
• Natural Language Processing Applications 20%
• Phonological Similarity 20%
• Linguistic Variation 20%
• Phonetic Classification 20%
• String Similarity 20%
• Social Media Text 20%
• Noisy Text 20%
• Adversarial Examples 20%
• Hybrid Nouns 20%
• Informal Writing 20%
• Slang 20%
• Online Posts 20%
• Attention-based Encoder-decoder 20%
• Character-based 20%
• Formal Text 20%

Computer Science

• Social Media 100%
• Sequence Model 100%
• Natural Language Processing 50%
• Contextual Information 25%
• Classification Models 25%
• Processing Task 25%
• Preprocessing Step 25%
• Canonical Form 25%
• Similarity Model 25%
• Adversarial Example 25%
• Word Character 25%