關於這本電子書
Within the realms of information retrieval and natural language processing (NLP), the topic of computer science known as question answering (QA) focuses on the construction of systems that can automatically respond to questions that are submitted by humans in a natural language. The questions can be asked in any natural language.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Question answering
Chapter 2: Computational linguistics
Chapter 3: Natural language processing
Chapter 4: Natural-language understanding
Chapter 5: Text Retrieval Conference
Chapter 6: Statistical semantics
Chapter 7: Natural-language user interface
Chapter 8: Textual entailment
Chapter 9: Entity linking
Chapter 10: Semantic parsing
(II) Answering the public top questions about question answering.
(III) Real world examples for the usage of question answering in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of question answering' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of question answering.
