Intellectual Property | Alex Tonetti
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Monday, February 15, 2016

Intellectual Property


Select the title of a Patent or Publication for more information.

Patents

 Generating Semantic Variants of Natural Language Expressions Using Type-specific Templates - 2018

Patent Number: 9,910,848

Abstract: A mechanism is provided in a data processing system having a processor and a memory storing instructions for implementing a natural language processing engine, a store of semantic types, and a store of units, conversions among units, and variants of unit names, for generating semantically equivalent variants of a natural language term. The mechanism receives an input term for variant analysis. The natural language processing engine executing on the data processing system identifies a semantic type of the input term based on the store of semantic types. The natural language processing engine extracts a quantity and a unit from the input term based on the store of units, conversions among units, and variants of unit names. The natural language processing engine populates type-specific templates at a level of specificity based on the input term based on the identified semantic type of the input term and the extracted quantity and unit to form a set of semantically equivalent variants of the input term. The natural language processing engine performs a natural language processing operation using the input term and the set of semantically equivalent variants of the input term.

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 Generating Semantic Variants of Natural Language Expressions Using Type-specific Templates - 2017

Patent Number: 9,767,094

Abstract: A mechanism is provided in a data processing system having a processor and a memory storing a store of semantic types and instructions for implementing a natural language processing engine for generating a question/answer pair list with semantically equivalent variants. The mechanism generates a user interface for generating a question/answer pair list. The mechanism receives user input in the user interface specifying a question and an answer term and specifying an answer type from a list of previously created answer types. The input term comprises the answer term. The natural language processing engine executing on the data processing system identifies a semantic type of the answer term based on the store of semantic types. The natural language processing engine performs a type-specific series of rule-based expansions of the answer term based on the identified semantic type of the answer term of the answer term. The natural language processing engine adds at least one semantically equivalent variant from the set of semantically equivalent variants of the answer term in association with the specified question to the question/answer pair list to form an expanded question/answer pair list. The natural language processing engine trains a question answering machine learning model for a question answering cognitive system using the expanded question/answer pair list as ground truth.

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 4 Patent Currently being Worked on by Patent Lawyers (Names to Be Announced Once Filed) - TBD

The description is coming soon, after the patent has become public on the United States Patent and Trademark office website.


Publications

 Automatic, In-Domain, Question/Answer-Set Generation - 2016

Abstract: Disclosed is a system for automatically generating a set of domain-specific question-answer (QA) pairs from a domain-specific corpus and an existing set of domain-general QA pairs. The output of the system is a high-quality QA set with good coverage suitable for training a QA system to the new domain.

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