Thomson Reuters Enterprise Centre Gmbh

Elizabeth Roman

Hella-Franziska Hoffmann

Nina Hristozova

Nicolai Pogrebnyakov

Borna Jafarpour

Sally Gao

Yue Feng

Shohreh Shaghaghian

Tate Sterling Avery

David Von Rickenbach

Nikolai Nefedov

Josh Lemaitre

The present disclosure is directed towards systems and methods for detecting deviations from a standard document in a document being analyzed. The inventive systems and methods include performing a first level analysis to detect portions of a standard that are identical to, similar to, deleted from, and added to a document being evaluated. A second level analysis may be applied to those portions of the standard that are similar, but not identical to, portions of the document being evaluated to assist a user in identifying similarities and differences between the two portions of text.

Systems and methods for document deviation detection

The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Deviations are detected by splitting sentences in two documents apart, matching sentences from the different documents and detecting deviations between the matched sentences.

Systems and methods for deviation detection, information extraction and obligation deviation detection

The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Deviations between sentences containing obligations are detected by classifying the sentences, identifying components of the obligations and identifying differences between the obligation components.

The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Information is extracted by identifying defined terms and their definitions in input text as well as by identifying portions of different input texts relevant to a point of interest and detecting deviations in those portions between the different input texts.

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Somerville, MA, United States of America

Elizabeth Roman