Patents by Inventor Andrew R. Freed

Andrew R. Freed 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).

  • Publication number: 20210109993
    Abstract: A method, computer system, and a computer program product for detecting one or more semantic headers in one or more tabular structures by utilizing a custom pre-trained embeddings model is provided. The present invention may include receiving the custom pre-trained embeddings model. The present invention may also include computing one or more dot product values associated with the one or more tabular structures from the one or more documents based on the context of each cell associated with the one or more tabular structures in the one or more documents. The present invention may then include generating one or more similarity feature values based on the computed one or more dot product values. The present invention may further include detecting the one or more semantic headers associated with the one or more tabular structures based on the one or more similarity feature values.
    Type: Application
    Filed: October 10, 2019
    Publication date: April 15, 2021
    Inventors: HASSAN NADIM, Joshua S. Allen, Kyle G. Christianson, Andrew R. Freed
  • Patent number: 10970466
    Abstract: Based on natural language processing of a passage of a first electronic document, a determination is made that the passage indicates an action to be undertaken. In response to this determination and based on an analysis of a second electronic document, the second electronic document is identified as incorporating content preconfigured to allow completion of the action. In response to this identification, the passage is linked to the second electronic document.
    Type: Grant
    Filed: June 3, 2019
    Date of Patent: April 6, 2021
    Assignee: International Business Machines Corporation
    Inventors: Corville O. Allen, Andrew R. Freed
  • Patent number: 10949613
    Abstract: Embodiments relate to an intelligent computer platform to support natural language (NL) processing. The request is analyzed and a lexical answer type (LAT) related to the received request is identified. A knowledge graph (KG) related to the LAT is identified and leveraged to extract a first concept related to the LAT and a second concept related to the first concept. First and second clusters are created, with the first cluster having the LAT and first concept as qualifiers, and the second cluster having the first and second concepts as qualifiers. Each of the formed clusters is populated with one or more documents. An inter-cluster assessment is conducted based on the relevancy of the populated document(s) to the received input. In addition, a machine learning model (MLM) corresponding to the KG is identified and utilized to selectively augment the MLM with the LAT, first and second concepts, and a corresponding relationship to the inter-cluster assessment.
    Type: Grant
    Filed: January 11, 2019
    Date of Patent: March 16, 2021
    Assignee: International Business Machines Corporation
    Inventors: Andrew R. Freed, Shikhar Kwatra, Corville O. Allen, Joseph Kozhaya
  • Publication number: 20210064668
    Abstract: Embodiments relate to an intelligent computer platform to identify a lexical answer type (LAT), a first concept relevant to the received request and a second concept related to the identified first concept. The LAT, together with the first and second concepts are utilized to create a first and second cluster. Documents are selectively populated into the clusters. The clusters are subject to sorting based on a relevancy protocol.
    Type: Application
    Filed: November 11, 2020
    Publication date: March 4, 2021
    Applicant: International Business Machines Corporation
    Inventors: Andrew R. Freed, Shikhar Kwatra, Corville O. Allen, Joseph Kozhaya
  • Publication number: 20210042290
    Abstract: Embodiments relate to an intelligent computer platform to construct ground truth data. A document is subjected to NLP and grammatical elements of the document are identified. The identified grammatical elements are annotated and one or more annotations are assigned to the elements, with each annotation having corresponding meta-data. The assigned annotations are assessed for accuracy and a score associated with the meta-data is adjusted. The annotations are selectively re-assigned with respect to the identified grammatical elements responsive to the adjusted score. Ground truth data is constructed and the selectively re-assigned annotations are assigned to corresponding and identified grammatical elements.
    Type: Application
    Filed: August 9, 2019
    Publication date: February 11, 2021
    Applicant: International Business Machines Corporation
    Inventors: Indervir Singh Banipal, Andrew R. Freed
  • Publication number: 20210042291
    Abstract: Embodiments relate to an intelligent computer platform to construct ground truth data. Annotations are extracted from one or more data elements and characteristic data associated with the extracted annotations is dynamically identified. One or more models are created with the identified characteristic data. Domain activity impact is measured the accuracy of the annotation data is calculated. A policy is generated from the calculated accuracy, wherein the policy includes assigning a score to the annotation data as metadata. Compliance activities are orchestrated based on the generated policy. One or more annotations are selectively re-assigned to the data in compliance with the orchestration, and ground truth data is created from the selective re-assignment.
    Type: Application
    Filed: August 9, 2019
    Publication date: February 11, 2021
    Applicant: International Business Machines Corporation
    Inventors: Indervir Singh Banipal, Andrew R. Freed
  • Publication number: 20210034637
    Abstract: A set of documents is received for processing and extraction. A set of processing engines is received, and each processing engine has an expected benefit when processing a document with associated document metadata. The set of documents is analyzed to determine document metadata to be associated with the document. An expected benefit is determined for each of the documents of the set of document when the respective document is processed by a respective processing engine in the set processing engines. An expected cost for processing is determined for each of the documents in each of the set of processing engines. A processing plan for the set of documents is determined wherein the processing plan identifies a selection of documents to be run in respective processing engines of the set of processing engines based on a cost versus benefit analysis. The processing plan is executed extracting information from the identified selection of documents.
    Type: Application
    Filed: July 31, 2019
    Publication date: February 4, 2021
    Inventors: Andrew R. Freed, Jason H. Cornpropst, Aaron T. Smith, Barton W. Emanuel
  • Patent number: 10909180
    Abstract: Embodiments relate to an intelligent computer platform to receive a request for processing against a corpus. The request is analyzed and a lexical answer type (LAT), a first concept relevant to the received request and a second concept related to the identified first concept, are each identified. The LAT, together with the first and second concepts are utilized to create a first cluster and a second cluster. Documents are selectively populated into the clusters based on the respective LAT and concept qualifiers. The clusters are subject to sorting based on relevancy to the received request.
    Type: Grant
    Filed: January 11, 2019
    Date of Patent: February 2, 2021
    Assignee: International Business Machines Corporation
    Inventors: Andrew R. Freed, Shikhar Kwatra, Corville O. Allen, Joseph Kozhaya
  • Publication number: 20210029141
    Abstract: Embodiments include a method, system and computer program product for detecting impersonation attempts in social media messaging. Aspects include receiving, via a social media network, a message from a sender to a recipient and analyzing a content of the message to extract factual statements from the message. Aspects also include analyzing a profile of the recipient to extract facts from the profile and comparing each of the factual statements to the facts from the profile. Based on a determination that one of the factual statements are verifiable by at least one of the facts, aspects include assigning a likelihood score to the factual statements. Aspects further include calculating a legitimacy score for the message based at least in part on the likelihood score of each verified factual statement from the message and transmitting the legitimacy score and the message to the recipient.
    Type: Application
    Filed: July 24, 2019
    Publication date: January 28, 2021
    Inventors: JASMEET SINGH, ANDREW R. FREED, REBECCA ROSE JAMES, STEPHAN ROORDA
  • Publication number: 20210019306
    Abstract: Intent-based exploring of self-documenting Application Programming Interface (“API”) documents comprises receiving a document containing a plurality of descriptions of APIs, wherein the document is in a structured format; generating a plurality of entities by identifying a plurality of API definition entries in the document; generating a plurality of intents by iterating through a plurality of path entries in the document; generating a dialog by creating a plurality of phrases by iterating through the plurality of path entries in the document; receiving one or more questions from a user or developer; and in response to the one or more questions, providing one or more conversational responses to the user by a conversational application program incorporating the plurality of entities, plurality of intents, and plurality of phrases.
    Type: Application
    Filed: July 17, 2019
    Publication date: January 21, 2021
    Applicant: International Business Machines Corporation
    Inventors: Isa M. Torres, Andrew R. Freed
  • Publication number: 20210019307
    Abstract: Intent-based exploring of self-documenting Application Programming Interface (“API”) documents comprises receiving a document containing a plurality of descriptions of APIs, wherein the document is in a structured format; generating a plurality of entities by identifying a plurality of API definition entries in the document; generating a plurality of intents by iterating through a plurality of path entries in the document; generating a dialog by creating a plurality of phrases by iterating through the plurality of path entries in the document; receiving one or more questions from a user or developer; and in response to the one or more questions, providing one or more conversational responses to the user by a conversational application program incorporating the plurality of entities, plurality of intents, and plurality of phrases.
    Type: Application
    Filed: August 6, 2019
    Publication date: January 21, 2021
    Inventors: Isa M. Torres, Andrew R. Freed
  • Patent number: 10885270
    Abstract: A computer-implemented method includes receiving first lossy converted documents. The computer-implemented method includes generating corrected documents for the first lossy converted documents. Each of the corrected documents includes edit markers that reflect structure changes relative to a corresponding document of the first lossy converted documents. The computer-implemented method includes generating feature vectors for the first lossy converted documents. The feature vectors include structure features of the first lossy converted documents. The computer-implemented method includes training one or more models based on the structure features and the edit markers. The computer-implemented method includes applying the trained one or more models to second lossy converted documents to determine proposed structure edits. The computer-implemented method includes transforming the second lossy converted documents to second corrected documents by applying one or more of the proposed structure edits.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: January 5, 2021
    Assignee: International Business Machines Corporation
    Inventors: Andrew R. Freed, Corville O. Allen
  • Patent number: 10878338
    Abstract: Embodiments relate to a system, program product, and method for use with an intelligent computer platform to decipher analogical phrases. A phrase is parsed into a set of terms to reveal an analogical pattern. The set of terms are categorized according to syntactic placement and each term is placed into two or more categories according to word type patterns in the phrase to produce metadata. The metadata is matched to outcome metadata generated from a set of outcomes produced from data storage and a set of grammatical data is generated for each potential outcome. A statistical model is trained, whereby the training includes weighing and ranking each potential outcome according to degree of congruence with the syntactic placement and word type patterns of the phrase. A highest outcome is selected, the highest outcome being the potential outcome with the highest rank and a confidence level data metric is then applied.
    Type: Grant
    Filed: October 6, 2016
    Date of Patent: December 29, 2020
    Assignee: International Business Machines Corporation
    Inventors: Corville O. Allen, Andrew R. Freed
  • Publication number: 20200404462
    Abstract: A computer-implemented method for vehicle to vehicle messaging. The method captures a voice command of a user in a first vehicle, and extracts an intent, a target recipient, and a message payload from the captured voice command of the user, using natural language processing. The method further analyzes video content from one or more cameras of the first vehicle, and identifies the target recipient relevant to the captured voice command, based on the analyzed video content. The method further transmits the message payload to the identified target recipient based on the extracted intent. In one embodiment, the message payload is transmitted to the target recipient via peer-to-peer communication, together with one or more segments of the analyzed video content and is displayed on a user interface of the identified target recipient.
    Type: Application
    Filed: June 21, 2019
    Publication date: December 24, 2020
    Inventors: Isa M. Torres, Andrew R. Freed, Timothy J. Hahn
  • Publication number: 20200387571
    Abstract: A method, computer system, and a computer program product for relevancy-based document quality assessment is provided. The present invention may include computing a document quality score based on at least one container relevancy score determined based on at least one domain link to a domain knowledge base.
    Type: Application
    Filed: June 6, 2019
    Publication date: December 10, 2020
    Inventors: Roberto Delima, Andrew R. Freed, Brien Muschett, Krishna Mahajan, David Contreras
  • Publication number: 20200364511
    Abstract: A method retrains a cognitive interaction information system. One or more processors monitors an interactive communication between a user and the cognitive interactive information system. The processor(s) identifies an incorrect answer returned by the cognitive interactive information system to a question asked by the user; reevaluates the question utilizing alternative intent classifications to form alternative answers; and presents the alternative answers to the user. The processor(s) receive a selection from the alternative answers from the user; updates processing rules to generate updated processing rules that are based on the selection; and retrains the cognitive interaction information system based on the updated processing rules.
    Type: Application
    Filed: May 17, 2019
    Publication date: November 19, 2020
    Inventors: JASON M. BROWN, ANDREW R. FREED, AARON T. SMITH, JOSHUA S. ALLEN, RYAN S. BRINK
  • Patent number: 10838992
    Abstract: In an approach to content selection, one or more computer processors receive a first query from a user. The one or more computer processors retrieve a first response for the first query. The one or more computer processors determine whether the first response exceeds a threshold for a policy for content usage associated with the first response, wherein the policy for content usage specifies one or more restrictions for usage of a content asset. In response to determining the first response exceeds the threshold for the policy for content usage, the one or more computer processors select a first subset of the first response to meet the threshold for the policy for content usage. The one or more computer processors send the first subset of the first response to the user.
    Type: Grant
    Filed: August 17, 2016
    Date of Patent: November 17, 2020
    Assignee: International Business Machines Corporation
    Inventors: Corville O. Allen, John M. Cusick, Andrew R. Freed, Shannen B. Lambdin, Nicolas B. Lopez, Anuj Sharma
  • Patent number: 10831798
    Abstract: A method, system and computer-usable medium are disclosed for associating data cells with headers and header labels. In certain embodiments, a table having rows and columns is received, wherein the table includes a plurality of cells, wherein each cell is populated with at least one of a header name, data value, or no information. A determination is made as to whether a cell is a header cell or data cell. If the cell is a header cell, current list of column and current list of row headers are dynamically updated. The current list of column and row headers are assigned to the cell regardless of whether the cell is a header cell or data cell. Headers associated with header cells are used to identify label candidates for the header name of the header cell. The labels may be used to provide additional context for headers within a data cell.
    Type: Grant
    Filed: September 20, 2018
    Date of Patent: November 10, 2020
    Assignee: International Business Machines Corporation
    Inventors: Kyle G. Christianson, Joshua S. Allen, Hassan Nadim, Andrew R. Freed
  • Patent number: 10832049
    Abstract: A method, system and computer-usable medium for classifying a source document using sub-documents identified in the source document. The method, system, and computer-usable medium are used to access the source document from electronic memory. The source document is electronically searched to detect markers indicative of whether the source document includes one or more sub-documents. Incongruities in the source document are located using the detected markers and the source document is split into sub-documents at the located incongruities. Each of the sub-documents is classified. The sub-documents are joined as a re-assembled source document with classifications including classifications for one or more of the sub-documents.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: November 10, 2020
    Assignee: Intematlonal Business Machlnes Corporation
    Inventors: Andrew R. Freed, Corville O. Allen
  • Patent number: 10825446
    Abstract: A method improves a functionality of a conversational agent that is generated by an artificial intelligence (AI) system. A conversational agent receives a first utterance from a first entity. The AI system identifies an unverified response to the first utterance; sends the unverified response to the first entity; and receives a positive feedback indication about the unverified response from the first entity. The AI system searches a data store in order to identify an entry for a second utterance by a second entity, where the second entity has sent a positive feedback for the unverified response. The AI system sends the second utterance and the unverified response to the first entity, and receives a positive feedback for the unverified response to the second utterance from the first entity in order to mark the unverified response as a verified response, which responds to future receipts of the first utterance.
    Type: Grant
    Filed: November 14, 2018
    Date of Patent: November 3, 2020
    Assignee: International Business Machines Corporation
    Inventors: Aaron T. Smith, Andrew R. Freed, Joshua S. Allen, Jason M. Brown, Ryan Brink, Sorabh Murgai