Natural Language Processing
Text-based AI tasks including classification, reasoning, and structured QA
Natural Language Processing (NLP) tasks work with text.
Classification
- Text Classification: Assign categories or labels to text
- Token Classification: Token-level labeling tasks like NER or POS
- Zero-Shot Classification: Classify text without task-specific training
Question Answering
- Question Answering: Extract answers from passages
- Table Question Answering: Answer questions using structured table data
Text Transformation
- Translation: Translate text between languages
- Summarization: Create concise summaries of text
- Text Generation: Generate coherent text from input prompts
- Fill Mask: Predict masked words in a sentence
Semantic Understanding
- Feature Extraction: Extract embeddings from text
- Sentence Similarity: Compute similarity between sentences
- Text Ranking: Rank documents or sentences by relevance