Domenic C Cipollone, Age 61Stonelick, OH

Domenic Cipollone Phones & Addresses

Batavia, OH

2707 Turpin Knoll Ct, Cincinnati, OH 45244 (513) 624-8003

5938 Ropes Dr, Cincinnati, OH 45244 (513) 624-8003

7217 Cobblestone Ct, Cincinnati, OH 45244 (513) 321-7058

640 Streamside Ln, Franklin, TN 37064

Macomb, MI

8 Comanche Cv, Sardinia, OH 45171 (937) 446-9438

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Us Patents

Systems And Methods For Identification Of Repetitive Language In Document Using Linguistic Analysis And Correction Thereof

US Patent:
2021039, Dec 16, 2021
Filed:
Jun 15, 2020
Appl. No.:
16/902034
Inventors:
- Redmond WA, US
Alfredo R. Arnaiz - Bellevue WA, US
Domenic Joseph Cipollone - Montgomery OH, US
Michael Wilson Daniels - Redmond WA, US
International Classification:
G06F 40/30
G06N 20/00
G06F 40/211
Abstract:
The present disclosure relates to processing operations configured to provide a linguistic-based approach to evaluating repetition in content of an electronic document. The approach of the present disclosure is about detecting terms/words/phrases that are likely to be perceived as being repetitious by native speakers of a language rather than just identifying the occurrence of identical words or strings in a document as done by traditional language checks. Processing of the present disclosure detects and evaluates terms or phrases using positive linguistic evidence derived from evaluation of linguistic relationships between words in a string in syntactic ways. This results in more accurate and efficient determination as to whether a term is truly repetitious at the linguistic level as compared with traditional language checks. As compared with string-based evaluation, fewer flags are raised for identification of repetitive/over-used language, but more precise/accurate identification of repetition occurs using processing of the present disclosure.

Using Editor Service To Control Orchestration Of Grammar Checker And Machine Learned Mechanism

US Patent:
2021037, Dec 2, 2021
Filed:
Jun 2, 2020
Appl. No.:
16/890227
Inventors:
- Redmond WA, US
Michael Wilson Daniels - Redmond WA, US
Enrico Cadoni - Dublin, IE
Domenic Joseph Cipollone - Montgomery OH, US
Bhavuk Jain - Redmond WA, US
Olivier Gauthier - Duvall WA, US
Kaushik R. Narayanan - Redmond WA, US
Siqing Chen - Bellevue WA, US
Alice Yingming Lai - Redmond WA, US
International Classification:
G06F 40/253
G06N 20/00
G06N 5/04
Abstract:
An editor service receives a textual input. The editor service provides the textual input to a rule-based grammar checker to obtain a grammar checker result. The editor service also provides the textual input to a machine learning (ML) fluency model that checks the textual input for errors and provides a ML model result. The editor service aggregates the grammar checker result and the ML model result and generates an editor service output based upon the aggregated results. A representation of the editor service result is provided to the client computing system for surfacing through a user interface.

Method And System For Intelligently Suggesting Paraphrases

US Patent:
2021000, Jan 7, 2021
Filed:
Jul 1, 2019
Appl. No.:
16/459576
Inventors:
- Redmond WA, US
Domenic Joseph CIPOLLONE - Montgomery OH, US
Maria Isabel CARPENTER - Snohomish WA, US
Juhi Amitkumar NAIK - Bellevue WA, US
Susan Michele HENDRICH - Kirkland WA, US
Michael Wilson DANIELS - Redmond WA, US
William Brennan DOLAN - Kirkland WA, US
Christopher Brian QUIRK - Seattle WA, US
Christopher John BROCKETT - Bellevue WA, US
Alice Yingming LAI - Seattle WA, US
Assignee:
MICROSOFT TECHNOLOGY LICENSING, LLC - Redmond WA
International Classification:
G06F 17/24
G06F 3/0482
G06F 17/27
G06F 17/28
G06K 9/62
Abstract:
A method and system for providing replacement text segments for a given text segment may include receiving a request to provide the replacement text segment for the text segment in the document, examining a content characteristic of the document, and examining at least one of user-specific information, organization-specific information, or non-linguistic features of the document, before identifying at least one replacement text segment for the text segment, via a machine translation system, based on the content characteristic of the document and at least one of the user-specific information, the organization-specific information, or the non-linguistic features of the document. The method and system may include providing the identified replacement text segment for display to a user, receiving an input indicating a user's selection of the identified replacement text segment, and upon receiving the input, replacing the text segment in the document with the identified replacement text segment.

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