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Joshua Clausman Phones & Addresses

  • Ames, IA
  • Somerville, MA
  • Boston, MA
  • Chelmsford, MA
  • Osceola, IA

Work

Company: Microsoft Jun 2018 Position: Senior software engineer

Education

Degree: Bachelors, Bachelor of Science School / High School: Iowa State University 2007 to 2012 Specialities: Computer Engineering

Skills

Java • Sql • Python • Javascript • Nosql • Web Development • Mapreduce • Hive • R

Interests

Investing • Hiking • Board Games • Tennis • Game Design To Solve Problems • 3D Modeling and Animation • Long Distance Backpacking

Industries

Computer Software

Resumes

Resumes

Joshua Clausman Photo 1

Senior Software Engineer

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Location:
59 Berkeley St, Somerville, MA 02143
Industry:
Computer Software
Work:
Microsoft
Senior Software Engineer

Semantic Machines Sep 2015 - Jun 2018
Software Engineer

Tripadvisor May 2012 - Sep 2015
Software Engineer

Iowa State University Jan 2012 - Jun 2012
Research Assistant - Software Developer

Venteura Aug 2011 - Feb 2012
Software Developer
Education:
Iowa State University 2007 - 2012
Bachelors, Bachelor of Science, Computer Engineering
Skills:
Java
Sql
Python
Javascript
Nosql
Web Development
Mapreduce
Hive
R
Interests:
Investing
Hiking
Board Games
Tennis
Game Design To Solve Problems
3D Modeling and Animation
Long Distance Backpacking

Publications

Us Patents

Expandable Dialogue System

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US Patent:
20180350349, Dec 6, 2018
Filed:
Feb 23, 2018
Appl. No.:
15/904125
Inventors:
- Newton MA, US
David Leo Wright Hall - Berkeley CA, US
Joshua James Clausman - Somerville MA, US
Assignee:
Semantic Machines, Inc. - Newton MA
International Classification:
G10L 15/06
G10L 15/065
G10L 15/22
G06N 5/02
G06F 3/16
Abstract:
A system that allows non-engineers administrators, without programming, machine language, or artificial intelligence system knowledge, to expand the capabilities of a dialogue system. The dialogue system may have a knowledge system, user interface, and learning model. A user interface allows non-engineers to utilize the knowledge system, defined by a small set of primitives and a simple language, to annotate a user utterance. The annotation may include selecting actions to take based on the utterance and subsequent actions and configuring associations. A dialogue state is continuously updated and provided to the user as the actions and associations take place. Rules are generated based on the actions, associations and dialogue state that allows for computing a wide range of results.

Flexible And Expandable Dialogue System

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US Patent:
20180261205, Sep 13, 2018
Filed:
May 8, 2018
Appl. No.:
15/974650
Inventors:
- Newton MA, US
David Leo Wright Hall - Berkeley CA, US
Joshua James Clausman - Somerville MA, US
Assignee:
Semantic Machines, Inc. - Newton MA
International Classification:
G10L 15/06
G10L 15/22
G10L 15/02
G06F 3/0482
G10L 15/19
Abstract:
A system that allows non-engineers administrators, without programming, machine language, or artificial intelligence system knowledge, to expand the capabilities of a dialogue system. The dialogue system may have a knowledge system, user interface, and learning model. A user interface allows non-engineers to utilize the knowledge system, defined by a small set of primitives and a simple language, to annotate a user utterance. The annotation may include selecting actions to take based on the utterance and subsequent actions and configuring associations. A dialogue state is continuously updated and provided to the user as the actions and associations take place. Rules are generated based on the actions, associations and dialogue state that allows for computing a wide range of results.

Data Collection For A New Conversational Dialogue System

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US Patent:
20180203833, Jul 19, 2018
Filed:
Nov 6, 2017
Appl. No.:
15/804093
Inventors:
- Newton MA, US
Daniel Klein - Orinda CA, US
Laurence Gillick - Newton MA, US
Jordan Cohen - Kure Beach NC, US
Linda Kathleen Arsenault - Chelmsford MA, US
Joshua Clausman - Somerville MA, US
Adam Pauls - Berkeley CA, US
David Hall - Berkeley CA, US
Assignee:
Semantic Machines, Inc. - Newton MA
International Classification:
G06F 17/24
G06N 99/00
G06F 7/08
G06F 17/27
G06F 3/0482
Abstract:
A data collection system is based on a general set of dialogue acts which are derived from a database schema. Crowd workers perform two types of tasks: (i) identification of sensical dialogue paths and (ii) performing context-dependent paraphrasing of these dialogue paths into real dialogues. The end output of the system is a set of training examples of real dialogues which have been annotated with their logical forms. This data can be used to train all three components of the dialogue system: (i) the semantic parser for understanding context-dependent utterances, (ii) the dialogue policy for generating new dialogue acts given the current state, and (iii) the generation system for both deciding what to say and how to render it in natural language.
Joshua J Clausman from Ames, IA, age ~36 Get Report