Patents Assigned to Elsevier, Inc.
  • Publication number: 20210004540
    Abstract: A method for performing a search for a result set of documents comprises receiving, at a computing device, an electronic document, identifying a numerical value in the document, extracting the numerical value and a portion of text surrounding the numerical value from the document to obtain extracted text, creating a vector representation of the extracted text, generating a series of questions associated with the extracted text, generating answers to the series of questions based on the vector representation of the extracted text, determining a context associated with the numerical value based on the answers to the plurality of questions, and storing the numerical value and the context associated with the numerical value in a database.
    Type: Application
    Filed: July 2, 2020
    Publication date: January 7, 2021
    Applicant: Elsevier, Inc
    Inventors: Corey A. Harper, Jessica Rose Cox, Antony Jason Scerri, Ronald E. Daniel, JR.
  • Publication number: 20200394197
    Abstract: A method comprises receiving at a computing device, a search query, performing, by the computing device, a semantic analysis of the search query to identify one or more semantic concepts contained within the query, selecting, by the computing device, one or more corpora, or portions thereof, based on the identified semantic concepts, and performing, by the computing device, a search of the one or more corpora based on the search query.
    Type: Application
    Filed: March 20, 2020
    Publication date: December 17, 2020
    Applicant: Elsevier, Inc.
    Inventor: Keith Gutfreund
  • Patent number: 10826781
    Abstract: A method for extracting structure from networks includes receiving an edge list, where the edge list defines a network including nodes and edges connecting the nodes to each other, where the edges define a strength of a relationship between connected nodes and filtering nodes from the edge list based on a predetermined filter parameter, thereby forming a filtered network. The method further includes identifying distinct connected components within the filtered network, analyzing each of the distinct connected components of the filtered network for the presence of additional structures within the distinct connected components, where the additional structures are decomposed into additional distinct connected components.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: November 3, 2020
    Assignee: ELSEVIER, INC.
    Inventors: Matt Hobby, Barry Norton, Jacek Szejda, Peter Wooldridge
  • Patent number: 10817582
    Abstract: A system, method, and electronic device for providing concomitant augmentation via learning interstitials for publications includes activating a scan mode, where the scan mode causes a camera to capture image data; determining the presence of a publication captured in the image data; and analyzing the image data to determine the presence of an augmented reality (AR) identifier. In response to identifying the presence of the AR identifier within the publication captured in the image data, the image data and an AR link that corresponds to the AR identifier is displayed as an AR overlay to the image data of the publication. In response to failing to identify the AR identifier within the publication, a user is prompted to input a page number of the publication; and the AR link that corresponds to the page number of the publication input by the user is displayed in a list view.
    Type: Grant
    Filed: July 19, 2019
    Date of Patent: October 27, 2020
    Assignee: Elsevier, Inc.
    Inventors: Hans-Frederick Brown, Christian Michael Fazio, Ethan Paul Furstoss, Gboinyee Kevin Tarr, Susanne Marcy Cohen, Daniel Dewitt Barber
  • Patent number: 10740560
    Abstract: Systems and methods of extracting funding information from text are disclosed herein. The method includes receiving a text document, extracting paragraphs from the text document using a natural language processing model or a machine learning model, and classifying, using a machine learning classifier, the paragraphs as having funding information or not having funding information. The method further includes labeling, using a first annotator, potential entities within the paragraphs classified as having funding information, and labeling, using a second annotator, potential entities within the paragraphs classified as having funding information, where the first annotator implements a first named-entity recognition model and the second annotator implements a second named-entity recognition model that is different from the first named-entity recognition model.
    Type: Grant
    Filed: June 27, 2018
    Date of Patent: August 11, 2020
    Assignee: Elsevier, Inc.
    Inventors: Michelle Gregory, Subhradeep Kayal, Georgios Tsatsaronis, Zubair Afzal
  • Publication number: 20200042545
    Abstract: Systems and methods for indexing geological features are disclosed. In one embodiment, a method for indexing geological features includes accessing a database storing a plurality of map objects that originate from documents. Each map object includes a map defined by a geographical boundary and a text caption. The method includes, for each map object, determining a plurality of geohashes within the geographical boundary, and includes, for each map object, comparing terms of the text caption with a list of geological keywords. For each map object, the method includes identifying one or more geological noun phrases within the text caption that match one or more geological noun phrases of the list. The method includes determining, for each geological noun phrase, one or more geohashes associated with the geological noun phrase and, for each geohash, determining a frequency that the geohash is associated with the geological noun phrase.
    Type: Application
    Filed: October 9, 2019
    Publication date: February 6, 2020
    Applicant: Elsevier, Inc.
    Inventors: Corey A. Harper, Chi Yeung Cheung, Sandra Merten, Antony Jason Scerri
  • Publication number: 20200026737
    Abstract: A system, method, and electronic device for providing concomitant augmentation via learning interstitials for publications includes activating a scan mode, where the scan mode causes a camera to capture image data; determining the presence of a publication captured in the image data; and analyzing the image data to determine the presence of an augmented reality (AR) identifier. In response to identifying the presence of the AR identifier within the publication captured in the image data, the image data and an AR link that corresponds to the AR identifier is displayed as an AR overlay to the image data of the publication. In response to failing to identify the AR identifier within the publication, a user is prompted to input a page number of the publication; and the AR link that corresponds to the page number of the publication input by the user is displayed in a list view.
    Type: Application
    Filed: July 19, 2019
    Publication date: January 23, 2020
    Applicant: Elsevier, Inc.
    Inventors: Hans-Frederick Brown, Christian Michael Fazio, Ethan Paul Furstoss, Gboinyee Kevin Tarr, Susanne Marcy Cohen, Daniel Dewitt Barber
  • Publication number: 20190310988
    Abstract: Systems, methods, and computer-executable instructions for identifying a document are described. A method includes receiving a query from a graphical user interface having one or more concepts, normalizing a set of terms or concepts in the query to create a normalized query, comparing the normalized query to a set of document centric concept profiles associated with a set of documents in a corpus, where each document centric concept includes a plurality of concepts and at least one reference value for each concept, where the reference value is calculated by tabulating the number of times a document associated with one of the document centric concept profiles is cited by a citing instance for the concept, and surfacing a document from the corpus with the highest reference value for the concept.
    Type: Application
    Filed: June 21, 2019
    Publication date: October 10, 2019
    Applicant: LEXISNEXIS, A DIVISION OF REED ELSEVIER INC.
    Inventors: Paul Zhang, Harry R. Silver
  • Patent number: 10417269
    Abstract: A system and method for verbatim-text mining including parsing documents of a text corpus into a plurality of individual sentences, assigning a sentence identifier to one or more individual sentences of the plurality of individual sentences, generating a plurality of n-Gram strings comprising a plurality of n-Grams from words within the individual sentence, applying an inverted index to the n-Gram string, combining an index data structure of one n-Gram string with an index data structure of another n-Gram string forming a merged index data structure when the index data structure of one n-Gram string shares a predetermined percentage of sentence identifiers of the index data structure of another n-Gram string, assigning a group identifier to the merged index data structure of a one or more merged index data structures, and creating a data set comprising the sentence identifier, the group identifier and the associated n-Gram string.
    Type: Grant
    Filed: March 13, 2017
    Date of Patent: September 17, 2019
    Assignee: LexisNexis, a division of Reed Elsevier Inc.
    Inventor: Paul Zhang
  • Publication number: 20190260711
    Abstract: Systems and methods for protecting private data behind a privacy firewall are disclosed. A system for implementing a privacy firewall to determine and provide non-private information from private electronic data includes a data storage repository, a processing device, and a non-transitory, processor-readable storage medium. The storage medium includes programming instructions that, when executed, cause the processing device to analyze a corpus of private electronic data to identify a first one or more portions of the data having non-private information and a second one or more portions of the data having private information, tag the first one or more portions of the data as allowed for use, determine whether the second one or more portions of the data includes non-private elements, and if the second one or more portions of the data comprises non-private elements, extract the non-private elements and tag the non-private elements as information allowed for use.
    Type: Application
    Filed: May 6, 2019
    Publication date: August 22, 2019
    Applicant: LEXISNEXIS, A DIVISION OF REED ELSEVIER INC.
    Inventor: William Kilgallon
  • Patent number: 10372717
    Abstract: Systems, methods, and computer-executable instructions for identifying a document are described. A method includes receiving a query from a graphical user interface having one or more concepts, normalizing a set of terms or concepts in the query to create a normalized query, comparing the normalized query to a set of document centric concept profiles associated with a set of documents in a corpus, where each document centric concept includes a plurality of concepts and at least one reference value for each concept, where the reference value is calculated by tabulating the number of times a document associated with one of the document centric concept profiles is cited by a citing instance for the concept, and surfacing a document from the corpus with the highest reference value for the concept.
    Type: Grant
    Filed: October 26, 2015
    Date of Patent: August 6, 2019
    Assignee: LexisNexis, a division of Reed Elsevier Inc.
    Inventors: Paul Zhang, Harry R. Silver
  • Patent number: 10353955
    Abstract: Systems, methods, and media for generating a normalized schema comparison file are disclosed. A method includes receiving, by a processing device, an extensible markup language (XML) schema for an XML document. The XML schema includes a content model and one or more internal schema structures and the content model is a specification of one or more XML elements and XML attributes allowed within a conformant XML instance file.
    Type: Grant
    Filed: November 4, 2015
    Date of Patent: July 16, 2019
    Assignee: LexisNexis, a division of Reed Elsevier Inc.
    Inventors: Steve Batides, Joy Luckabaugh, Maan Khamis
  • Publication number: 20190197036
    Abstract: Systems and methods for displaying estimated relevance indicators for result sets of documents and for displaying query visualizations are disclosed. A method includes receiving a search query including a plurality of query terms. The method further includes searching a database using the search query to identify the result set of documents and calculating an estimated relevance score for the result set of documents. The estimated relevance score is indicative of a degree to which the result set of documents are relevant to the search query. The method further includes providing for display the estimated relevance indicator based on the estimated relevance score. The estimated relevance indicator provides a visual indication of the degree to which the result set of documents are relevant to the search query. Query visualizations including a plurality of nodes and a plurality of connectors are also disclosed.
    Type: Application
    Filed: March 1, 2019
    Publication date: June 27, 2019
    Applicant: LexisNexis, a division of Reed Elsevier Inc.
    Inventors: Richard D. Miller, Jacob Aaron Myers, Travis Shane Ritchie, Todd J. Frascone
  • Patent number: 10333899
    Abstract: Systems and methods for protecting private data behind a privacy firewall are disclosed. A system for implementing a privacy firewall to determine and provide non-private information from private electronic data includes a data storage repository, a processing device, and a non-transitory, processor-readable storage medium. The storage medium includes programming instructions that, when executed, cause the processing device to analyze a corpus of private electronic data to identify a first one or more portions of the data having non-private information and a second one or more portions of the data having private information, tag the first one or more portions of the data as allowed for use, determine whether the second one or more portions of the data includes non-private elements, and if the second one or more portions of the data comprises non-private elements, extract the non-private elements and tag the non-private elements as information allowed for use.
    Type: Grant
    Filed: October 7, 2015
    Date of Patent: June 25, 2019
    Assignee: LexisNexis, a division of Reed Elsevier Inc.
    Inventor: William Kilgallon
  • Patent number: 10331782
    Abstract: Systems and methods to identify potential material fact sentences in electronic legal documents obtained from electronic repositories are disclosed. A system includes a processing device and a storage medium in communication with the processing device. The storage medium includes programming instructions that cause the processing device to obtain a document and parse text within the document to determine whether each paragraph in the document is a fact paragraph, a discussion paragraph, or an outcome paragraph based on at least one of a heading associated with the paragraph and features of the paragraph. The storage medium further includes programming instructions that cause the processing device to extract each sentence in the fact paragraph, direct a trained sentence classifier to determine whether each sentence is a potential material fact sentence or a non-material fact sentence based on features of the sentence, and identify potential material fact sentences.
    Type: Grant
    Filed: November 18, 2015
    Date of Patent: June 25, 2019
    Assignee: LexisNexis, a division of Reed Elsevier Inc.
    Inventors: Mahesh Pendyala, Gene Osgood, Jacob Aaron Myers
  • Publication number: 20190179839
    Abstract: In one embodiment, a method of evaluating a term in a patent-related document includes receiving a selected term, generating one or more variant suggestions related to the selected term, displaying the one or more variant suggestions, receiving one or more selected variant suggestions from the one or more variant suggestions, and associating the one or more selected variant suggestions with the selected term. In another embodiment, a method of evaluating a term in a patent-related document includes displaying a list of terms appearing in a first patent-related document and a second patent-related document, displaying a graphical representation of whether or not individual terms in the list of terms appear in the first patent-related document or the second patent-related document, and receiving a selected term from the list of terms. The method further includes displaying one or more variant suggestions related to the selected term.
    Type: Application
    Filed: February 20, 2019
    Publication date: June 13, 2019
    Applicant: LEXISNEXIS, A DIVISION OF REED ELSEVIER INC.
    Inventor: Brian K. Elias
  • Patent number: 10268738
    Abstract: Systems and methods for displaying estimated relevance indicators for result sets of documents and for displaying query visualizations are disclosed. A method includes receiving a search query including a plurality of query terms. The method further includes searching a database using the search query to identify the result set of documents and calculating an estimated relevance score for the result set of documents. The estimated relevance score is indicative of a degree to which the result set of documents are relevant to the search query. The method further includes providing for display the estimated relevance indicator based on the estimated relevance score. The estimated relevance indicator provides a visual indication of the degree to which the result set of documents are relevant to the search query. Query visualizations including a plurality of nodes and a plurality of connectors are also disclosed.
    Type: Grant
    Filed: March 6, 2017
    Date of Patent: April 23, 2019
    Assignee: LexisNexis, a division of Reed Elsevier Inc.
    Inventors: Richard D. Miller, Jacob Aaron Myers, Travis Shane Ritchie, Todd J. Frascone
  • Publication number: 20190044821
    Abstract: A method for extracting structure from networks includes receiving an edge list, where the edge list defines a network including nodes and edges connecting the nodes to each other, where the edges define a strength of a relationship between connected nodes and filtering nodes from the edge list based on a predetermined filter parameter, thereby forming a filtered network. The method further includes identifying distinct connected components within the filtered network, analyzing each of the distinct connected components of the filtered network for the presence of additional structures within the distinct connected components, where the additional structures are decomposed into additional distinct connected components.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 7, 2019
    Applicant: Elsevier, Inc.
    Inventors: Matt Hobby, Barry Norton, Jacek Szejda, Peter Wooldridge
  • Publication number: 20190005020
    Abstract: Systems and methods of extracting funding information from text are disclosed herein. The method includes receiving a text document, extracting paragraphs from the text document using a natural language processing model or a machine learning model, and classifying, using a machine learning classifier, the paragraphs as having funding information or not having funding information. The method further includes labeling, using a first annotator, potential entities within the paragraphs classified as having funding information, and labeling, using a second annotator, potential entities within the paragraphs classified as having funding information, where the first annotator implements a first named-entity recognition model and the second annotator implements a second named-entity recognition model that is different from the first named-entity recognition model.
    Type: Application
    Filed: June 27, 2018
    Publication date: January 3, 2019
    Applicant: Elsevier, Inc.
    Inventors: Michelle Gregory, Subhradeep Kayal, Georgios Tsatsaronis, Zubair Afzal
  • Publication number: 20180365323
    Abstract: A method of automatically generating content summaries for topics includes receiving a taxonomy for a concept and a text corpus. The method further includes generating an annotated dataset having term annotations corresponding to the concept from the text corpus based on the taxonomy, parsing the annotated dataset into a custom generated document object having a structured layout, determining features for the term annotations, and extracting snippets from the custom generated document object, where each of the snippets corresponds to a section of the custom generated document object. The method further includes scoring the snippets based on the features such that each of the snippets corresponds to a score, filtering one or more snippets from the snippets when one or more snippet filtering conditions is met, ranking the snippets into an ordered list for the concept based on the score, and providing, to a user computing device, the ordered list.
    Type: Application
    Filed: June 15, 2018
    Publication date: December 20, 2018
    Applicant: Elsevier, Inc.
    Inventors: Marius Doornenbal, Srinivasa Satya Sameer Kumar Chivukula, Judson Dunham, Rick Misra, Michelle Gregory