natural language generation reshapes how we write

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Natural Language Generation Reshapes How We Write Aaron Yin CEO of Resure Technology

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Page 1: Natural Language Generation Reshapes How We Write

Natural Language Generation Reshapes How We Write

Aaron Yin

CEO of Resure Technology

Page 2: Natural Language Generation Reshapes How We Write

A Century Passed and We Still Type Letter-by-letter

• The first typewriter was invented in 1874 and got popular very soon

• After >100 years, we still type one letter at a time

• Just compare it to how people create pictures!

Page 3: Natural Language Generation Reshapes How We Write

Deep Learning has Reshaped NLP

• Google Translate

• Gmail’s Smart Compose

Page 4: Natural Language Generation Reshapes How We Write

Who Can Help Users Write?

• We hope to help users compose original sentences• Not translating English to Spanish• Not autocompleting a sentence like “How |are you?” or “See |you later.”

• It must be able to• Understand what the user might want to write based on context

• Be able to compose long sentences or paragraphs, in a tone similar to human

Page 5: Natural Language Generation Reshapes How We Write

Demo 1: Resume Writing

• We launched Glever in November 2017

• It has helped tens of thousands of users write their resumes

• Given a job title and (optionally) a few skills, Glever can compose a piece of work experience correspondingly

• No prewritten library. AI writes every word

Page 6: Natural Language Generation Reshapes How We Write
Page 7: Natural Language Generation Reshapes How We Write

Demo 2: Writing A Blog Article

• We launched Essaybot in May 2018

• It can write articles in certain verticals, such as Health & Fitness, Personal Finance, etc.

• The first free-writing tool. AI writes every single word, including punctuations

Page 8: Natural Language Generation Reshapes How We Write
Page 9: Natural Language Generation Reshapes How We Write

Demo 3: Responding to Customer Complaints

• We launched Responses.ai in October 2018

• Given a user review on a hotel, it can create a response to appreciate the complements and address the complaints

• It composes a whole paragraph, word-by-word, just like a human

Page 10: Natural Language Generation Reshapes How We Write
Page 11: Natural Language Generation Reshapes How We Write

Customer Correspondences

• Reply in real-time• When customers send messages, they expect replies ASAP

• But in fact they often wait for days or even weeks

• Enterprises spend much effort in training customer service people• Write in certain formats

• Avoid bad words

• Prefer certain words over others

• All can be done by AI in a breeze. Just feed it with the right training data and whitelist/blacklist of words

• Cost is virtually zero

Page 12: Natural Language Generation Reshapes How We Write

Demo 4: Analyzing Customer Reviews

• Collect all web reviews for a particular business, and understand each review using deep learning

• Extract the issues mentioned, and tell if each issue is positive or negative, from user’s tones

• Show aggregate statistics about different aspects of the business, with ability to drill down to each review on that aspect

Page 13: Natural Language Generation Reshapes How We Write
Page 14: Natural Language Generation Reshapes How We Write

Web Review Analytics

• Web reviews are “first impression” of new users for a business

• Provide valuable insights on how business is doing in different aspects

• Compare a business with its competitors with web reviews, to understand what needs to be improved

Page 15: Natural Language Generation Reshapes How We Write

Summary

• The mission of Resure Technology is to let AI help us write• Resumes

• Articles

• Customer Correspondences

• and many more

• Compose original contents• Not translating English to Spanish• Not autocompleting a sentence like “How |are you?” or “See |you later.”

• The key is to understand the context, and let AI write like a human

Page 16: Natural Language Generation Reshapes How We Write

Thank You!Aaron Yin

CEO of Resure Technology