Patent search ap:("LIFE TECHNOLOGIES CORPORATION") AND inv:"Matthew Murray" Page 1

1.

外观设计
Display screen or portion thereof with graphical user interface 有权

公开(公告)号：USD899440S1

公开(公告)日：2020-10-20

申请号：US29669666

申请日：2018-11-09

Applicant: LIFE TECHNOLOGIES CORPORATION

Designer： Matthew Schifano , Brian Johnson , Justin Wilson , Austin Beer , Naomi Tirronen , Magdalena Wielopolski , Aron Wahl , Matthew Murray

2.

外观设计
Display screen or portion thereof with graphical user interface 有权

公开(公告)号：USD864982S1

公开(公告)日：2019-10-29

申请号：US29611390

申请日：2017-07-20

Applicant: LIFE TECHNOLOGIES CORPORATION

Designer： Brian Johnson , Rachel Wihlborg , Kevin Abrams , David Lu , Todd Lefelt , Magdalena Wielopolski , Eve Songdej , Matthew Murray , Aron Wahl , Austin Beer , Charlie Hart , Agnes Won , Shane Nehring

3.

外观设计
Display screen or portion thereof with graphical user interface 有权

公开(公告)号：USD948532S1

公开(公告)日：2022-04-12

申请号：US29705638

申请日：2019-09-13

Applicant: LIFE TECHNOLOGIES CORPORATION

Designer： Brian Johnson , Rachel Wihlborg , Kevin Abrams , David Lu , Todd Lefelt , Magdalena Wielopolski , Eve Songdej , Matthew Murray , Aron Wahl , Austin Beer , Charlie Hart , Agnes Won , Shane Nehring

4.

发明授权
Systems, methods and computer programs for customized natural language processing and searching based on technical terms within electronic documents 有权

公开(公告)号：US11003851B2

公开(公告)日：2021-05-11

申请号：US16270508

申请日：2019-02-07

Applicant: LIFE TECHNOLOGIES CORPORATION

Inventor： Aron Wahl , Matthew Murray , Austin Beer , Emily Wengert , Heiko Waechter , Matt Loomis , Namit Joshi

IPC: G06F40/211 , G06Q30/06 , G06F16/332 , G06F16/31 , G06F40/289 , G06F40/295

Abstract: Methods, systems, and computer readable media concern natural language processing and searching for identifying biological products in an electronic document. The method includes extracting, from the electronic document, a candidate text phrase representing a potential biological product reference in the electronic document and parsing the candidate text phrase into a syntactic structure including one or more terms. The method includes tagging each of the one or more terms in the syntactic structure with a vocabulary tag. The vocabulary tag represents a technical meaning of a term in the potential biological product reference. The method includes calculating a total score for the candidate text phrase based on relative tag scores associated with each vocabulary tag for the one or more terms. The method includes classifying the candidate text phrase as a biological product reference and includes searching a database for one or more product entries based on the biological product references.