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Category Archives: Natural Language Processing
The same Challenges for AI and Decision Models
Peter Voss just quoted this Harvard Business Review’s article: “The scientific community is good at building AI models that perform a single task really well. But more intuitive, conversational, and contextual interfaces will require an AI model that learns continuously — … Continue reading
Progress in Natural Language Processing
In August, researchers from the Allen Institute for Artificial Intelligence, a lab based in Seattle, unveiled an English test for computers. It examined whether machines could complete sentences. In October Google researchers unveiled a a new language representation model called Bert. These new language … Continue reading
Intelligent Chatboats for Commercial Interactions
The NY Times Magazine published an article called “INTELLIGENT CHATBOTS COULD AUTOMATE AWAY NEARLY ALL OF OUR COMMERCIAL INTERACTIONS”. Andrew NG tweeted today: “Great article about how chatbots like HiWoebot will be one of the most important applications of NLP. … Continue reading
The Myth of Data-Driven Natural Language Understanding
Walid Saba published a short presentation on the difference between Natural Language Processing (NLP) and Natural Language Understanding (NLU) and why the data-driven approach, while useful for some NLP tasks, is irrelevant to NLU. Link
CUI – Conversational User Interface
Here are a few quotes from an interesting article “State of the conversation” written by Paul Campillo: Eight trillion. That’s the number of text messages sent every year. For the record, that’s 23 billion texts sent every day. Or almost 16 … Continue reading
Chatbots: From Understanding Text to Understanding Customers
Pega’s Andy Lewis published a paper about chatbots and NLP (Natural Language Processing): “If your chatbot cannot pass the empathy test with your customers it should be retired“. “Context demands we bring into the mix customer memory, insight, predictions, rules, and … Continue reading
