🔤 Language AI Tasks (NLP Task Overview)
1. 🧠 Understanding (Analysis)
| Task | Description | Examples |
|---|---|---|
| Text Classification | Assign a label to text | Spam detection, sentiment analysis |
| Named Entity Recognition (NER) | Extract entities like names, locations | “Barack Obama” → PERSON |
| Part-of-Speech Tagging (POS) | Label each word’s role | “run” = verb, “fast” = adverb |
| Parsing | Analyze sentence structure | Dependency trees, constituency trees |
| Coreference Resolution | Link pronouns to nouns | "Jane dropped her book. She picked it up." → "She" = Jane |
| Topic Modeling | Discover themes in text | Grouping forum posts by subject |
2. ✍️ Generation
| Task | Description | Examples |
|---|---|---|
| Text Generation | Generate new text from a prompt | GPT writing a story |
| Machine Translation | Convert text between languages | English → French |
| Summarization | Condense text into a shorter version | News article → summary |
| Question Answering | Answer from a passage | "What is photosynthesis?" |
| Dialogue Generation | Generate conversational replies | Chatbots, assistants |
| Code Generation | Convert text to code | "Write a Python function that..." |
3. 🔎 Retrieval & Ranking
| Task | Description | Examples |
|---|---|---|
| Information Retrieval (IR) | Retrieve relevant documents/passages | Google search, RAG systems |
| Reranking | Reorder search results | Hybrid systems using BERT |
| Semantic Search | Find meaning-based matches | Vector search |
4. 📐 Representation & Embedding
| Task | Description | Examples |
|---|---|---|
| Word Embeddings | Map words to vector space | Word2Vec, GloVe |
| Sentence/Doc Embeddings | Represent longer text | Sentence-BERT, CLS token |
| Similarity Measurement | Compare two texts | Plagiarism detection |
5. 🧩 Multimodal / Hybrid Tasks
| Task | Description | Examples |
|---|---|---|
| Image Captioning | Describe images using text | "A cat sitting on a chair" |
| Visual QA | Answer questions about an image | "What color is the shirt?" |
| Code + Text | Combine natural language and programming | GitHub Copilot, doc generators |