“I don’t own a TV set. I would watch it.”
The following excerpt is from Hobbs, Jerry R. “Toward a useful concept of causality for lexical semantics.” Journal of Semantics 22.2 (2005): 181-209. The paper goes on for a few pages about how to...
View Article“Only full page color ads can run on the back cover of the New York Times...
A decade or so ago, we were debating how to educate Paul Allen’s artificial intelligence in a meeting at Vulcan headquarters in Seattle with researchers from IBM, Cycorp, SRI, and other places. We...
View ArticleIterative Disambiguation
In a prior post we showed how extraordinarily ambiguous, long sentences can be precisely interpreted. Here we take a simpler look upon request. Let’s take a sentence that has more than 10 parses and...
View ArticleNatural Intelligence
Deep natural language understanding (NLU) is different than deep learning, as is deep reasoning. Deep learning facilities deep NLP and will facilitate deeper reasoning, but it’s deep NLP for knowledge...
View ArticleSimply Logical English
This is not all that simple of an article, but it walks you through, from start to finish, how we get from English to logic. In particular, it shows how English sentences can be directly translated...
View ArticleConfessions of a production rule vendor (part 2)
Going on 5 years ago, I wrote part 1. Now, finally, it’s time for the rest of the story. The bottom line to this story: It’s time to trade rule technology dating back to the 80’s for state of the art...
View ArticleProblems with Probabilistic Parsing
We are using statistical techniques to increase the automation of logical and semantic disambiguation, but nothing is easy with natural language. Here is the Stanford Parser (the probabilistic...
View ArticleSimply Smarter Intelligent Agents
Deep learning can produce some impressive chatbots, but they are hardly intelligent. In fact, they are precisely ignorant in that they do not think or know anything. More intelligent dialog with an...
View ArticleCharacter by character sentiment
This is a great page on language modeling with an awesome graphic and commentary on its learned “sentiment neuron”.
View ArticleEntailment-driven Extracting and Editing for Conversational Machine Reading
When I wrote Are Vitamins Subject to Sales Tax, I was addressing the process of translating knowledge expressed in formal documents, like laws, regulations, and contracts, into logic suitable for...
View Article
More Pages to Explore .....