Thomson Reuters Enterprise Centre Gmbh

Hand Held Products, Inc.

Thomson Reuters Global Resources

Tonya Custis

Gayle McElvain

Kwong Wing Au

Keith Braho

John Pecorari

Kurt Charles Miller

Duane Littleton

Justin Volz

Navaneetha Myaka

Duff Halart Gold

Matthew A Surprenant

Christopher Lofty

Kartik Suchindra Babu

James Geisler

Erik Lindberg

Steven Thomas

Jared John Schmidt

Brian Matthew Connelly

Brent Alan Nichols

Michael Naughton

Ronald Shane Fazzio

Arup Suprakash Mukherjee

Adam Jack Hertzman

Surya K Tanneru

Gayle Mcelvain

Khalid Al-Kofahi

Isabelle Moulinier

Julian Brooke

Khaled Ammar

Afsaneh Fazly

Hector Martinez Alonso

Kanika Madan

Diane Erickson

The present disclosure relates to systems and methods for generating contextually, grammatically, and conversationally correct answers to input questions. Embodiments provide for linguistic and syntactic structure analysis of a submitted question in order to determine whether the submitted question may be answered by at least one headnote. The question is then further analyzed to determine more details about the intent and context of the question. A federated search process, based on the linguistic and syntactic structure analysis, and the additional analysis of the question is used to identify candidate question-answer pairs from a corpus of previously created headnotes. Machine learning models are used to analyze the candidate question-answer pairs, additional rules are applied to rank the candidate answers, and dynamic thresholds are applied to identify the best potential answers to provide to a user as a response to the submitted question.

Systems and methods for generating a contextually and conversationally correct response to a query

The present disclosure relates to systems and methods for analyzing citationally related content and identifying, based on the analysis, a risk of impliedly overruled content. Embodiments provide for receiving case law data from a document source, for extracting a case triple that includes a first case overruling or abrogating a second case, and a third case citationally related to the second case. Features may be generated from case triple, such as natural processing language features comparing the language in the various cases of the triple, and feeding the generated features to a main classifier. In embodiments, the main classifier classifies the case triple into a class indicating the risk probability that the second case is impliedly overruled by the first case.

Systems and methods for identifying a risk of impliedly overruled content based on citationally related content

A workflow management system for managing the storage, retrieval, and transport of items in a warehouse includes a voice-directed mobile terminal. The system also includes a server computer in communication with the voice-directed mobile terminal. The server computer includes a tasking module for transmitting task data to the voice-directed mobile terminal. The server computer also includes a workflow-analysis module for generating, based at least in part upon an analysis of workflow dialog between the voice-directed mobile terminal and the user, performance data relating to the performance of tasks associated with the storage, retrieval, and/or transport of the items.

System and method for workflow management

To improve traditional keyword based search engines, the present inventors devised, among other things, systems, methods, and software that use word co-occurrence probabilities not only to identify documents conceptually related to user queries, but also to score and rank search results. One exemplary system combines inverse-document-frequency searching with concept searching based on word co-occurrence probabilities to facilitate finding of documents that would otherwise go unfound using a given query. The exemplary system also allows ranking of search results based both on both keyword matching and concept presence, promoting more efficient organization and review of search results.

Information-retrieval systems, methods, and software with concept-based searching and ranking

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Minneapolis, MN, United States of America

Tonya Custis