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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
Question-Answering with Structural Analogy

Description:

Designing intelligent systems that can answer questions has been an ongoing and active challenge for the artificial intelligence community. In the past, researchers were focused on producing specialized language systems for particular domains and datasets. Such approaches would require deeper-than-ideal amounts of expertise to design, and often necessitated the expensive...

Keyword:

Semantic Parsing, Explainability, Analogy, and Question-answering

Subject:

Artificial intelligence

Creator:

Crouse, Maxwell

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

10/06/2021

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15615 and etdadmin_upload_828469

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