5 books on Natural Language Generation [PDF]

October 22, 2024

Books on Natural Language Generation cover linguistics, deep learning, text summarization, and context-aware generation technologies, that allow to generate human-like text.

1. Stone Age Code: From Monkey Business to AI
2021 by Shane Neeley



Imagine a journey from the primal joys of flinging bananas to the baffling complexities of programming something that might one day be better at chess than you—and Shane Neeley is your cheerfully irreverent guide. "Stone Age Code" takes you by the hand (opposable thumb optional) through the evolution of intelligence, from the grunts and flails of our ancestors to the peculiar antics of artificial minds today. There’s no math, no code, just big ideas and enough humor to keep you wondering whether the machines of tomorrow will laugh with us or at us. It’s like going from stick-waving to string-theory-level geekery, without needing to break a sweat or open a calculator.
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2. Natural Language Generation in Interactive Systems
2014 by Amanda Stent, Srinivas Bangalore



Imagine you’re trying to teach a parrot to hold a decent conversation, only the parrot is a supercomputer and the conversation happens in real-time with hundreds of people—and sometimes those people have no patience at all. That’s essentially what "Natural Language Generation in Interactive Systems" is about. Amanda Stent and Srinivas Bangalore dive into the messy, thrilling world of getting machines to talk back with some semblance of wit and insight. This book is filled with enough case studies, frameworks and computational shenanigans to leave you feeling you could charm Siri into making you tea. Or, at least, understand why she misunderstands you so often.
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3. Natural Language Generation in Artificial Intelligence and Computational Linguistics
2013 by Cecile L. Paris, William R. Swartout, William C. Mann



“Natural Language Generation” might sound like it’s about getting your washing machine to write sonnets, but Cecile L. Paris, William Swartout and William Mann want you to know there’s a bit more to it. This book is an exploration of how computers can do more than just parrot human speech; they aim to understand, synthesize and subtly impress their audience. Imagine an AI that not only tells you the weather but also muses poetically about the rain, referencing last week’s thunderstorm. It’s a quest for machines that understand us better than we understand ourselves, but with just enough unpredictability to keep things interesting.
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4. Natural Language Generation Systems
2012 by David D. McDonald, Leonard Bolc



Picture a computer that writes essays better than the average undergraduate. David McDonald and Leonard Bolc have created a book that doesn’t just want computers to generate text—it wants them to be a little bit brilliant about it. This is for the brave souls keen on deciphering how machines learn to structure, elaborate and even revise their own work. The authors might not promise you a computer that waxes lyrical, but they will introduce you to the fascinating building blocks that could one day bring that dream a tiny bit closer. Prepare for a journey into linguistic labyrinths with machines determined to charm or at least be grammatically polite.
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5. Building Natural Language Generation Systems
2000 by Ehud Reiter, Robert Dale



Ehud Reiter and Robert Dale have put together the ultimate how-to guide for anyone who has ever thought, "Wouldn't it be neat if my microwave could compose haikus?" Instead of microwaves, though, this book focuses on the rather serious world of data-driven text generation. By the end of it, you'll be armed with enough knowledge about document planning, microplanning and surface realization that you could build an AI to write your emails for you—if you're brave enough to relinquish that much control. It's full of practical blueprints and diagrams, perfect for turning your data into something far more interesting than a pie chart—something that tells a story.
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