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Filtering by: Creator S. Bursztyn, Victor Keyword language models Resource type Dissertation

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Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conversations

Description:

Task-oriented conversational systems are becoming increasingly popular, as shown by the rise of conversational recommendation systems across multiple platforms (e.g., Google Home, Alexa, and Siri) and domains (e.g., local establishments, e-commerce, books, music, and movies). However, users are still largely limited in what preferences they can express and how, as...

Keyword:

conversational search, critiquing-based systems, language models, natural language processing, conversational systems, and conversational recommendation

Subject:

Artificial intelligence and Computer science

Creator:

S. Bursztyn, Victor

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:16403 and etdadmin_upload_961447
Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conversations

Description:

Task-oriented conversational systems are becoming increasingly popular, as shown by the rise of conversational recommendation systems across multiple platforms (e.g., Google Home, Alexa, and Siri) and domains (e.g., local establishments, e-commerce, books, music, and movies). However, users are still largely limited in what preferences they can express and how, as...

Keyword:

conversational search, critiquing-based systems, language models, natural language processing, conversational systems, and conversational recommendation

Subject:

Artificial intelligence and Computer science

Creator:

S. Bursztyn, Victor

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

03/24/2023

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:16403 and etdadmin_upload_961447

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Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conversations

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