目录 Foreword Preface Part I. Foundations 1. NLP: A Primer NLP in the Real World NLP Tasks What Is Language? Building Blocks of Language Why Is NLP Challenging? Machine Learning, Deep Learning, and NLP: An Overview Approaches to NLP Heuristics-Based NLP Machine Learning for NLP Deep Learning for NLP Why Deep Learning Is Not Yet the Silver Bullet for NLP An NLP Walkthrough: Conversational Agents Wrapping Up 2. NLP Pipeline Data Acquisition Text Extraction and Cleanup HTML Parsing and Cleanup Unicode Normalization Spelling Correction System-Specific Error Correction Pre-Processing Preliminaries Frequent Steps Other Pre-Processing Steps Advanced Processing Feature Engineering Classical NLP/ML Pipeline DL Pipeline Modeling Start with Simple Heuristics Building Your Model Building THE Model Evaluation Intrinsic Evaluation Extrinsic Evaluation Post-Modeling Phases Deployment Monitoring Model Updating Working with Other Languages Case Study Wrapping Up 3. Text Representation Vector Space Models Basic Vectorization Approaches One-Hot Encoding
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