Northwestern University

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Reasoning and Structured Explanations in Natural Language via Analogical and Neural Learning

Description:

Performing complex reasoning has been a long-standing challenge in artificial intelligence (AI).This thesis describes a class of AI systems designed to reason, extract knowledge, and answer questions on various domains such as process understanding, elementary science, and math word problems. Our approach differs from traditional logical reasoning systems since we...

Keyword:

Knowledge Extraction, Natural Language Processing, Artificial Intelligence, Explainable Artificial Intelligence, Question-answering, and Reasoning

Subject:

Computer science

Creator:

Neves Ribeiro, Danilo

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

08/23/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:16640 and etdadmin_upload_997812