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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
Better Reasoning for Visual Question Answering

Description:

Visual Question Answering (VQA) increasingly attracts industry and academia attention. It requires the model to provide a natural language answer by an image and a related natural language question. Meanwhile, it relates to multidisciplinary research such as natural language understanding, visual information retrieval, and multimodal reasoning. As a multimodality task,...

Keyword:

Reasoning, Artificial Intelligence, Visual Question Answering, and Computer Vision

Subject:

Artificial intelligence and Computer science

Creator:

Xiong, Peixi

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

09/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_926174 and http://dissertations.umi.com/northwestern:16204

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