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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

Description:: The world is awash in data and much of artificial intelligence focuses on learning models of the underlying structure in this data or the mechanisms governing its evolution. Both neural and symbolic models have weaknesses that make these models sub-optimal from a use perspective. Much of this data is in...
Keyword:: Neural-Symbolic Models, Natural Language Processing, Artificial Intelligence, Neural Network Language Models, Finance Models, and Machine Learning
Subject:: Computer science
Creator:: Demeter, David
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_769746 and http://dissertations.umi.com/northwestern:15319

Description:: Annual age-adjusted breast cancer incidence rates in the United States have been static for decades. More recently, the development of massively parallel, high throughput DNA sequencing has enabled the cataloging of somatic mutations in cancer. Mutations are non-random and occur within sequence motifs. These motifs provide us with evidence to...
Keyword:: Natural Language Processing, Electronic Health Records, Genomics, Mutational Processes, Breast Cancer, and Machine Learning
Subject:: Bioinformatics and Computer science
Creator:: Zeng, Zexian
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:14500 and etdadmin_upload_635668

Description:: Natural Language Processing methods have become increasingly important for a variety of high- and low-level tasks including speech recognition, question answering, and automatic language translation. The state of the art performance of these methods is continuously advancing, but reliance on labeled training data sets often creates an artificial upper bound...
Keyword:: Word Embeddings, Natural Language Processing, Polysemy, and Neural Networks
Subject:: Artificial intelligence and Computer science
Creator:: Lucas, Michael Ryan
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2017-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_677765 and http://dissertations.umi.com/northwestern:14760

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