Jpmorgan Chase Bank, N.a.

Thomson Reuters Enterprise Centre Gmbh

Refinitiv US Organization LLC

Thomson Reuters Global Resources Unlimited Company

Thomson Reuters (Grc) LLC

Sameena Shah

Armineh Nourbakhsh

Salwa Husam Alamir

Manuela Veloso

Daniel Borrajo

Natraj Raman

Simerjot Kaur

Maria Manuela Veloso

Quanzhi Li

Ran Zmigrod

Xiaomo Liu

Masoud Makrehchi

Keshav Ramani

Charese Smiley

Vali Tawosi

Andrea Stefanucci

Wenhui Liao

Akshat Gupta

Suchetha Siddagangappa

Xin Shuai

Qi Li

Khalid Al-Kofahi

Jochen Lothar Leidner

Tim Nugent

John F Duprey

Daniele Magazzeni

Russell Kociuba

Zhen Zeng

Naftali Y Cohen

Vamsi Krishna Potluru

Matthew A Surprenant

William Watson

Scott Francis

Merine Thomas

Vineeth Ravi

Steven Sidwell

Mathieu Sibue

Mike Dahn

Lucas Carstens

Xiaomo Lu

Jacob Sisk

Eric Milles

Eric Holten

Fabio Petroni

Parisa Zehtabi

Ryan Kelly

Dietmar H Dorr

Cecilia Tilli

Alberto Pozanco

Ramkrishna Patil

Raul Rios

Toyin Aguda

Samuel Angmor Mensah

Rui Manuel Ramos Teixeira Da Silva

Pietro Totis

Jade Fallen

Joy Sain

Jonathan Roger Horn

Reginald Chua

Rui Fang

Steven Pomerville

Alex Woodgate

Amit Aswani

Cenk Baykal

Alec Louis Clemente Candidato

Brian Bramble

Elena Kochkina

Matt Makosky

Tom Vacek

Rares Dolga

Bhagyalakshmi Rathakrishnan

Parag Sharma

Zarko Panic

Harsha Valaturu

A method for using a graph neural network framework to improve learning and predicting in a multiplex network environment is provided. The method includes: identifying a plurality of layers of a multiplex network; estimating, for each layer, a corresponding probability of selecting the layer as being a relevant layer for training with respect to an application; estimating, for each layer, a corresponding loss associated with selecting the layer as being relevant; calculating, for each layer based on the corresponding probability and the corresponding loss, a corresponding regret associated with selecting the layer as being relevant; determining, for each layer based on the calculated corresponding regret, whether to select the layer as being relevant; and training the multiplex network with respect to the application by aggregating information obtained from layers that have been determined as being relevant layers.

Method and system for efficient learning on large multiplex networks

A method and a system for preparing a response to a subpoena by using an automated subpoena processing and handling model is provided. The method includes: receiving a first subpoena; extracting a set of informational requests from the first subpoena; retrieving a data set from a memory; analyzing the first data set with respect to the set of informational requests in order to identify items from within the data set that are responsive to items included within the set of informational requests; and generating a report that includes a result of the analysis. The analysis is performed by providing the first subpoena as an input to a Robustly optimized Bidirectional Encoder Representations from Transformers pre-training approach (RoBERTa) model that uses a sub-word approach to modeling words in a sequential format.

Method and system for automated processing and continuous deployment of subpoena extraction model

A method and system for automatically converting a software rule code specifying a policy rule into a human comprehensible document are disclosed. The method includes receiving the software rule code; obfuscating the software rule code prior to submission to a machine learning (ML) model; decomposing the obfuscated software rule code into at least one then block and at least one when block; performing code logic simplification on the at least one then block for separating the at least one then block into at least one logic and at least one action; creating a truth table using the at least one logic; constructing a decision table by combining the truth table, the at least one when block and the at least one action; and outputting the human comprehensible document for display on the display screen.

System and method for automating conversion of policy rules to spreadsheets while maintaining data security

A method and system for reducing context length in processing a codebase using large language model (LLM) are disclosed. The method includes receiving the codebase including multiple files for processing, generating, via the LLM, summaries based on the multiple files, and subsequently organizing the summaries based on a structure of the codebase. The method further includes determining a downstream task, determining whether the downstream task requires a summary of a code or the code itself, and transmitting the summary or the code to the downstream task for executing the downstream task.

System and method for reducing context length in processing codebase using large language model

A system for correcting a Structured Query Language (SQL) dialect conversion error. The system may include a processor and memory that stores instructions that, when executed by the processor, cause the processor to perform operations. The operations may include: receiving a first partially converted SQL file that has been partially converted from a first SQL dialect into a second SQL dialect; extracting, from the first partially converted SQL file, at least one first unconverted SQL snippet; deriving at least one first transformation; determining whether the at least one first transformation includes an appropriate set of at least one transformation for correcting a corresponding SQL conversion error; and associating the appropriate set of at least one transformation with the at least one first unconverted SQL snippet.

Method and system for imitation conversion fixes between Structured Query Language (SQL) dialects

Systems and methods for extracting information from a resume of an applicant are provided. The method includes: receiving a resume that relates to an applicant; extracting information that relates to applicant attributes from the resume; comparing the extracted information with a predetermined list of job-specific skills and with a predetermined list of characteristics that relate to soft skills; using the extracted information to determine applicant achievements; and determining at least one skill that corresponds to the applicant. The method may be implemented by using a deep learning technique and/or a natural language processing technique.

Method and system for resume data extraction

A method for automating a process of generating messages that are responsive to client inquiries by using an AI algorithm that implements a machine learning technique to ensure accuracy and timeliness in the responses is provided. The method includes: receiving a first message that includes an inquiry that relates to an account associated with a user; applying an AI algorithm for analyzing the first message in order to extract information that relates to the inquiry; determining, based on a result of the analysis, whether generating a response to the inquiry requires human intervention; when human intervention is not required, retrieving information that is responsive to the inquiry from a memory; generating a second message that includes the information that is responsive to the inquiry; and transmitting the second message to the user.

Method and system for automated message generation

A method and a system for automatically processing financial documents to generate knowledge graphs that convey information relating to entities of interest and relationships between those entities are provided. The method includes: receiving a document; extracting raw text included in the document; identifying, based on the extracted raw text, a set of entities that are named in the document; determining respective relationship information that corresponds to respective pairs of entities; constructing a knowledge graph that illustrates respective relationships among the respective pairs of entities; and outputting the knowledge graph. The determination of the respective relationship information may be performed by applying an artificial intelligence (AI) algorithm that is trained by using historical data that relates to the set of entities.

Method and system for understanding financial documents

A method and system for providing a video query are disclosed. The method includes acquiring context information, training a first machine learning (ML) model using historical data of the software life cycle tool, and removing, by the first ML model, noise from the context information for generating a query including at least one keyword. Once the query is generated, executing, by a second ML model, the query to retrieve at least one video segment from a learning repository. Scoring and ranking is then performed on the at least one video segment. The ranked video segment is then transmitted, to the user interface of the software life cycle tool, and displayed in an ad-hoc manner.

System and method for providing video query

A method and a system for providing a visual representation of textual information is provided. The method includes: receiving a corpus that includes documents containing textual information; analyzing the textual information by applying a text analytics algorithm thereto; generating a visual representation of the textual information based on a result of the analysis; and displaying the visual representation on a graphical user interface (GUI) that includes mechanisms for facilitating user interaction therewith. The visual representation be any one of a hypergraph that encodes a distributional similarity between words included in the textual information, a multi-level radial layout that captures distinguishing terms included in the textual information, a clutter-free parallel coordinate plot of topic relations with respect to the textual information, a nested topology of hierarchical relations with respect to the textual information, and a tessellated plane that highlights boundary points with respect to the textual information.

Method and system for providing visual text analytics

A method and system for detecting, segmenting, and extracting salient regions in documents by using attention tracking sensors is provided. The method includes: receiving an image that corresponds to a document; receiving, from a sensor, a sequence of measurements that correspond to a human reading of the document; determining, based on the sequence of measurements, at least one region of the document as being a salient document region; demarcating the salient document region in an electronically displayable manner; and outputting a file that includes a displayable version of the document with the demarcated document region. The salient document region may include a title, a section header, and/or a table. The sensor may be an eye-tracking sensor that detects a sequence of eye-gaze positions on the document as a function of time.

Method of detecting, segmenting and extracting salient regions in documents using attention tracking sensors

A method for using artificial intelligence and machine learning to automatically generate commentary that relates to quantitative data is provided. The method includes: receiving a first tabular data set; identifying a first cell having numeric data from within the first tabular data set; associating a first column header and a first row header with the first cell; assigning a respective header type to each of the first column header and the first row header; mapping each of the first cell, the first column header, and the first row header to a first comment from among a set of comments; and augmenting the first comment by generating additional text that supplements the first comment.

Method and system for conditioned generation of descriptive commentary for quantitative data

A method and a system for extracting information from a subpoena document are provided. The method includes: receiving a subpoena document; extracting raw text included in the subpoena document; identifying, based on the extracted raw text, entities that are named in the subpoena document; determining, based on the extracted raw text, first information that relates to a scope period, a law enforcement agency, and/or an investigative agent associated with the subpoena document; retrieving second information that relates to the identified entities from a customer database; and outputting a subset of the determined first information and a subset of the obtained second information. The method may also include using a weighted fuzzy name match algorithm to match the identified entities with the second information.

Method and system for processing subpoena documents

The present disclosure is directed towards systems and methods for assisting with legal research and for aiding in the discovery of information and documents relevant to a user's research focus or input text. The inventive systems receive identifications of relevant documents explicitly or implicitly from a user's research session or input text and, based on issues relevant to those documents, texts and other connections to those documents and texts, recommends similar or helpful documents to the user for their consideration. Recommendations may be ranked and filtered.

Legal research recommendation system

A method for using an artificial intelligence-based framework to automatically discover and extract information about private and public companies that is accessible from public data sources is provided. The method includes: receiving first information that relates to an identification of a company; determining, based on the first information, publicly accessible data sources via which second information that relates to the company is available; receiving user input that relates to a type of company-specific data to be accessed from the data sources; retrieving, based on the received user input, a subset of the second information; and outputting the subset of the second information. The second information may include leadership profiles, information about products and services, a company description, and/or information about corporate policies.

Method and system for automated public information discovery

Growing community of inventors

White Plains, NY, United States of America

Sameena Shah