Tag Archives: RelEx

Why Hypergraphs?

I’ve recently been hacking on creating a new parser for the Link Grammar theory of natural language parsing. I want to couple parsing to machine learning (ML), to that I can use ML to learn natural languages. To do that, I need to place everything in a certain abstract data representation framework that allows graph rewrite rules, logical reasoning, and Bayesian probabilistic reasoning to be combined. This framework exists in OpenCog, but few people know or understand this. That this framework also has a firm foundation in model theory, category theory (even n-categories!) and type theory is even less well known. To explain all this, I just wrote a simple, easy introduction to all of these ideas, and how they come together. Follow the link for more. Continue reading

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The Viterbi Parser

The new Viterbi decoder for Link Grammar should offer better integration with higher level semantic algorithms! Continue reading

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Meaning-Text Theory

During some recent reading, it struck me that a useful framework for thinking about and talking about sentence generation is the MTT or “meaning-text theory” of Igor Mel’cuk, et al Here is one readable reference: Igor A. Mel’čuk and Alain … Continue reading

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Sentence Patterns

I’ve recently resumed work on the question-answering chatbot, and am trying to get it to comprehend a broader range of questions and statements.   The “big idea” is to create a number of “sentence patterns” that the pattern matcher can recognize … Continue reading

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proto-chatbot at last!

A prototype chatbot demonstrates the OpenCog NLP pipeline by parsing simple statements and answering simple questions. Continue reading

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