Patents by Inventor Carol Myrick Anderson
Carol Myrick Anderson has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240126799Abstract: Described herein are systems, methods, and other techniques for segmenting an input text. A set of tokens are extracted from the input text. Token representations are computed for the set of tokens. The token representations are provided to a machine learning model that generates a set of label predictions corresponding to the set of tokens. The machine learning model was previously trained to generate label predictions in response to being provided input token representations. Each of the set of label predictions indicates a position of a particular token of the set of tokens with respect to a particular segment. One or more segments within the input text are determined based on the set of label predictions.Type: ApplicationFiled: November 1, 2023Publication date: April 18, 2024Inventor: Carol Myrick Anderson
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Patent number: 11836178Abstract: Described herein are systems, methods, and other techniques for segmenting an input text. A set of tokens are extracted from the input text. Token representations are computed for the set of tokens. The token representations are provided to a machine learning model that generates a set of label predictions corresponding to the set of tokens. The machine learning model was previously trained to generate label predictions in response to being provided input token representations. Each of the set of label predictions indicates a position of a particular token of the set of tokens with respect to a particular segment. One or more segments within the input text are determined based on the set of label predictions.Type: GrantFiled: April 12, 2021Date of Patent: December 5, 2023Assignee: Ancestry.com Operations Inc.Inventor: Carol Myrick Anderson
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Patent number: 11797774Abstract: Systems, methods, and other techniques for extracting data from obituaries are provided. In some embodiments, an obituary containing a plurality of words is received. Using a machine learning model, an entity tag from a set of entity tags may be assigned to each of one or more words of the plurality of words. Each particular tag from the set of entity tags may include a relationship component and a category component. The relationship component may indicate a relationship between a particular word and the deceased individual. The category component may indicate a categorization of the particular word to a particular category from a set of categories. The extracted data may be stored in a genealogical database.Type: GrantFiled: December 6, 2022Date of Patent: October 24, 2023Assignee: Ancestry.com Operations Inc.Inventors: Carol Myrick Anderson, Gann Bierner, Philip Theodore Crone, Tyler Folkman
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Publication number: 20230109073Abstract: Systems, methods, and other techniques for extracting data from obituaries are provided. In some embodiments, an obituary containing a plurality of words is received. Using a machine learning model, an entity tag from a set of entity tags may be assigned to each of one or more words of the plurality of words. Each particular tag from the set of entity tags may include a relationship component and a category component. The relationship component may indicate a relationship between a particular word and the deceased individual. The category component may indicate a categorization of the particular word to a particular category from a set of categories. The extracted data may be stored in a genealogical database.Type: ApplicationFiled: December 6, 2022Publication date: April 6, 2023Applicant: Ancestry.com Operations Inc.Inventors: CAROL MYRICK ANDERSON, GANN BIERNER, PHILIP THEODORE CRONE, TYLER FOLKMAN
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Patent number: 11537816Abstract: Systems, methods, and other techniques for extracting data from obituaries are provided. In some embodiments, an obituary containing a plurality of words is received. Using a machine learning model, an entity tag from a set of entity tags may be assigned to each of one or more words of the plurality of words. Each particular tag from the set of entity tags may include a relationship component and a category component. The relationship component may indicate a relationship between a particular word and the deceased individual. The category component may indicate a categorization of the particular word to a particular category from a set of categories. The extracted data may be stored in a genealogical database.Type: GrantFiled: July 14, 2020Date of Patent: December 27, 2022Assignee: Ancestry.com Operations Inc.Inventors: Carol Myrick Anderson, Gann Bierner, Philip Theodore Crone, Tyler Folkman
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Publication number: 20210319216Abstract: Described herein are systems, methods, and other techniques for segmenting an input text. A set of tokens are extracted from the input text. Token representations are computed for the set of tokens. The token representations are provided to a machine learning model that generates a set of label predictions corresponding to the set of tokens. The machine learning model was previously trained to generate label predictions in response to being provided input token representations. Each of the set of label predictions indicates a position of a particular token of the set of tokens with respect to a particular segment. One or more segments within the input text are determined based on the set of label predictions.Type: ApplicationFiled: April 12, 2021Publication date: October 14, 2021Applicant: Ancestry.com Operations Inc.Inventor: Carol Myrick Anderson
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Publication number: 20210224651Abstract: Described herein are systems, methods, and other techniques for training a machine learning (ML) model to jointly perform named entity recognition (NER) and relation extraction (RE) on an input text. A set of hyperparameters for the ML model are set to a first set of values. The ML model is trained using a training dataset and is evaluated to produce a first result. The set of hyperparameters are modified from the first set of values to a second set of values. The ML model is trained using the training dataset and is evaluated to produce a second result. Either the first set of values or the second set of values are selected and used for the set of hyperparameters for the ML model based on a comparison between the first result and the second result.Type: ApplicationFiled: January 21, 2021Publication date: July 22, 2021Applicant: Ancestry.com Operations Inc.Inventors: Philip Theodore Crone, Carol Myrick Anderson, Suraj Subraveti
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Publication number: 20210019569Abstract: Systems, methods, and other techniques for extracting data from obituaries are provided. In some embodiments, an obituary containing a plurality of words is received. Using a machine learning model, an entity tag from a set of entity tags may be assigned to each of one or more words of the plurality of words. Each particular tag from the set of entity tags may include a relationship component and a category component. The relationship component may indicate a relationship between a particular word and the deceased individual. The category component may indicate a categorization of the particular word to a particular category from a set of categories. The extracted data may be stored in a genealogical database.Type: ApplicationFiled: July 14, 2020Publication date: January 21, 2021Applicant: Ancestry.com Operations Inc.Inventors: Carol Myrick Anderson, Gann Bierner, Philip Theodore Crone, Tyler Folkman