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Posts Tagged ‘Natural Language’

Natural Language Leadership at the Allen Institute for Artificial Intelligence (AI2)

Orin Etzioni is a marvelous choice to lead the Allen Institute for AI (aka AI2).  The NL/ML path is the right path for scaling up the deep knowledge that Paul Allen’s vision of a Digital Aristotle requires.  You can read more about it below and here’s more background on the change in the direction and [...]

Pedagogical applications of proofs of answers to questions

In Vulcan’s Project Halo, we developed means of extracting the structure of logical proofs that answer advanced placement (AP) questions in biology.  For example, the following shows a proof that separation of chromatids occurs during prophase. This explanation was generated using capabilities of SILK built on those described in A SILK Graphical UI for Defeasible [...]

Translating English into Logic using the Linguist

Now that the patent filings are done, we can discuss and show more about the Linguist… The following link is a video that shows a sentence from Project Sherlock being translated from English into first-order logic using the patent-pending  Linguisttm software. The hydrophobic ends of the lipids of a cell’s plasma membrane are oriented away [...]

Semantic Technology & Business Conference (SemTechBiz)

Benjamin Grosof and I will be presenting the following review of recent work at Vulcan towards Digital Aristotle as part of Project Halo at SemTechBiz in San Francisco the first week of June. Acquiring deep knowledge from text We show how users can rapidly specify large bodies of deep logical knowledge starting from practically unconstrained [...]

Deep QA

Our efforts at acquiring deep knowledge from a college biology text have enabled us to answer a number of questions that are beyond what has been previously demonstrated. For example, we’re answering questions like: Are the passage ways provided by channel proteins hydrophilic or hydrophobic? Will a blood cell in a hypertonic environment burst? If [...]

Project Sherlock

Working as part of Vulcan’s Project Halo[1], Automata is applying a natural language understanding system that translates carefully formulated sentences into formal logic so as to answer questions that typically require deeper knowledge and inference than demonstrated by Watson. The objective over the next three quarters is to acquire enough knowledge from the 9th edition [...]

IBM Ilog JRules for business modeling and rule authoring

If you are considering the use of any of the following business rules management systems (BRMS): IBM Ilog JRules Red Hat JBoss Rules Fair Isaac Blaze Advisor Oracle Policy Automation (i.e., Haley in Siebel, PeopleSoft, etc.) Oracle Business Rules (i.e., a derivative of JESS in Fusion) you can learn a lot by carefully examining this [...]

Google vs. Facebook and Bing (again)

Almost a year ago, I wrote about semantics and social networking as threats to Google.  In that post, I referenced a prior article on investments in natural language processing, such as Microsoft’s acquisition of Powerset, which is now part of Bing. Today, there are two articles I recommend.  The first addresses the extent to which Google’s [...]

How is a process an event?

processes are events that take time

Time for the next generation of knowledge automation

In preparing for my workshop at the Business Rules Forum in Las Vegas on November 5th, I have focused on the following needs in reasoning about processes, about events, and about or over time: Reasoning at a point within a [business] process Reasoning about events that occur over time. Reasoning about a [business] process (as [...]