Question Answering: Fundamentals and Applications

· Artificial Intelligence Ibhuku elingu-218 · One Billion Knowledgeable
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Izilinganiso nezibuyekezo aziqinisekisiwe  Funda Kabanzi

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What Is Question Answering

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.

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