Natural Language Generation Reshapes How We Write
Transcript of Natural Language Generation Reshapes How We Write
Natural Language Generation Reshapes How We Write
Aaron Yin
CEO of Resure Technology
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!
Deep Learning has Reshaped NLP
• Google Translate
• Gmail’s Smart Compose
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
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
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
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
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
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
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
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
Thank You!Aaron Yin
CEO of Resure Technology