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Computer Science
Data Science
Textual Analysis
1. Foundations of Textual Analysis
2. Data Acquisition and Preprocessing
3. Feature Engineering and Text Representation
4. Core Analysis Techniques and Tasks
5. Advanced Models and Methods
6. Evaluation and Interpretation
7. Tools and Technologies
8. Ethical Considerations and Challenges
Advanced Models and Methods
Transformer Architecture
Self-Attention Mechanism
Attention Function
Query, Key, and Value Vectors
Attention Weights Computation
Scaled Dot-Product Attention
Multi-Head Attention
Parallel Attention Heads
Concatenation and Linear Projection
Benefits of Multiple Heads
Encoder-Decoder Structure
Encoder Stack
Decoder Stack
Cross-Attention
Positional Encoding
Sinusoidal Encoding
Learned Positional Embeddings
Relative Position Encoding
Layer Normalization and Residual Connections
Feed-Forward Networks
Large Language Models
Pre-training Strategies
Masked Language Modeling
Next Sentence Prediction
Autoregressive Language Modeling
Transfer Learning
Fine-Tuning Approaches
Task-Specific Adaptation
Domain Adaptation
Few-Shot and Zero-Shot Learning
In-Context Learning
Prompt Design
Meta-Learning
Prompt Engineering
Prompt Templates
Chain-of-Thought Prompting
Instruction Following
Model Scaling
Parameter Scaling Laws
Computational Requirements
Emergent Abilities
Popular LLM Architectures
GPT Family
BERT Variants
T5 and UL2
PaLM and LaMDA
Question Answering Systems
Reading Comprehension
Extractive Question Answering
Span Selection Methods
Context Understanding
Generative Question Answering
Abstractive Answer Generation
Knowledge Integration
Question Types
Factual Questions
Reasoning Questions
Multi-Hop Questions
QA System Architecture
Open-Domain vs Closed-Domain
Retrieval-Augmented Generation
Knowledge Base QA
Evaluation of QA Systems
Exact Match
F1 Score
Human Evaluation
Text Generation
Language Modeling
N-gram Language Models
Neural Language Models
Transformer Language Models
Conditional Text Generation
Text-to-Text Generation
Data-to-Text Generation
Style Transfer
Generation Strategies
Greedy Decoding
Beam Search
Sampling Methods
Top-k Sampling
Nucleus Sampling
Controllable Generation
Attribute Control
Content Planning
Constraint Satisfaction
Evaluation of Generated Text
Automatic Metrics
BLEU
ROUGE
BERTScore
Human Evaluation
Fluency
Coherence
Relevance
Cross-Lingual and Multilingual Analysis
Multilingual Embeddings
Cross-Lingual Word Embeddings
Multilingual Sentence Embeddings
Alignment Methods
Machine Translation
Statistical Machine Translation
Neural Machine Translation
Transformer-Based Translation
Cross-Lingual Transfer Learning
Zero-Shot Cross-Lingual Transfer
Multilingual Pre-Training
Language-Specific Fine-Tuning
Challenges in Multilingual NLP
Resource Imbalance
Script Differences
Cultural Context
Code-Switching
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4. Core Analysis Techniques and Tasks
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6. Evaluation and Interpretation