Accenture Global Solutions Limited

International Business Machines Corporation

Bogdan Eugen Sacaleanu

Urvesh Bhowan

Medb Corcoran

Tara Lynn O'Gara

James Robert Priestas

Theresa M Gaffney

Radu Marinescu

Alice-Maria Marascu

Charles Arthur Jochim

Anthony McCoy

Qurrat Ul Ain

Chahrazed Bouhini

Pedro Sacristan

Laura O'Malley

Sarat Chandra Gurram

Navdeep Sharma

Travis Bowers

Thomas Doane Perry

Meghan Hildebrand Fotopoulos

Alice Marascu

Nóirín Duggan

Aoife Whelan

Gino Andre Di Paolo

Robert Drysdale

Ascanio Afan De Rivera Costaguti

Gavin Kearney

Jivan Virdee

Embodiments for cause identification in audit data by a processor. A probabilistic logical representation is extracted from text data representing a knowledge domain according to an ontology to identify one or more reoccurring problems of the knowledge domain. A root cause and one or more causal factors of the one or more reoccurring problems is automatically identified using the logical representation such that the identifying associates a confidence level for the root cause and the one or more causal factors.

Root cause identification in audit data

An example implementation described herein involves identifying an artificial intelligence module to train a user; selecting, using the artificial intelligence module, a set of tasks from a plurality of tasks to provide to the user; providing the set of tasks to the user; monitoring a performance parameter associated with the user performing the tasks; identifying a machine learning model to determine a level of expertise of the user; determining, using the performance parameter as an input to the machine learning model, whether the level of expertise of the user satisfies an expertise threshold; obtaining a configuration update to the artificial intelligence module from the user, determining that the level of expertise of the user satisfies the expertise threshold; and updating the artificial intelligence module to use the configuration update in association with training one or more users or selecting a subsequent set of tasks from the plurality of tasks based on determining that the level of expertise of the user satisfies the expertise threshold.

Adaptive artificial intelligence for user training and task management

An Artificial Intelligence (AI) based document processing system receives a request including one or more documents related to a process to be automatically executed. The information including the fields and an intent required for the process are extracted from one or more of the request and the documents. The required documents and fields are selected based on the intent and a domain model. The required fields are validated using external knowledge and the discrepancies identified therein are resolved. An internal master document is built based on the required fields. The internal master document is employed for the automatic execution of the process.

Artificial intelligence based document processor

A device obtains a machine readable document, and extracts plain text information from the machine readable document. The device extracts visual structural information from the machine readable document, and processes the plain text information with an artificial intelligence model to generate artificial intelligence-generated annotations. The device aligns the artificial intelligence-generated annotations and the visual structural information to generate a structured document, and provides the structured document for display.

Generating a structured document based on a machine readable document and artificial intelligence-generated annotations

A device may obtain information included in a corpus of documents relating to an organization. The device may identify a set of values indicating personal information for one or more individuals by using a set of natural language processing (NLP) techniques to analyze the information included in the corpus. The device may determine a set of relationships between one or more values, of the set of values indicating the personal information using one or more additional NLP techniques and/or one or more rules. The device may generate a set of user profiles for the one or more individuals based on the set of relationships between the one or more values indicating the personal information. The device may perform one or more actions associated with using the set of user profiles to service a request for information.

Automated secure identification of personal information

A document processing system receives an electronic document including component documents generated from various sources in different formats. Plain text data can be extracted from the electronic document in addition to formatting and structuring information. The plain text data is segmented into sections and various entities are extracted and linked from the sections. An interactive graphical user interface (GUI) that displays content including the plain text data is formatted according to the styling information and annotated entity relationships are determined from the linked entities. The GUI enables user edits to the annotated entity relationships.

Document processing

A method for automatically extracting claim candidates from complex sentences includes providing a parse tree of a text sample to be analyzed, disassembling the parse tree into a set of basic meaning-bearing clauses, assembling clauses of the set of basic clauses into a set of complex coherent statements based on permissible syntactic structures, testing the complex statements and discarding those statements that are not coherent when considered alone, discarding those complex statements that either do not provide additional information about a subject, or are too complex, removing information from a complex statement that provides supportive details about the subject, and discarding statements that restrict their subject, so that the subject cannot be generalized encompass a broader subject.

Rule-based syntactic approach to claim boundary detection in complex sentences

Growing community of inventors

Dublin, Ireland

Bogdan Eugen Sacaleanu