Index Catalog // Arch : Northwestern University Institutional Repository

Auditing Algorithmic Communication Flows

Description:: Human communication has become increasingly reliant on systems made and managed by large technology companies like Google, Apple, Twitter, and Meta (formerly Facebook). These systems offer people many benefits, but they also present new challenges for society. In recent years, researchers, lawmakers, and journalists have suggested that large technology companies...
Keyword:: Apple, Twitter, Google, Algorithm Auditing, Sociotechnical Systems, and Facebook
Subject:: Artificial intelligence, Computer science, and Communication
Creator:: Bandy, Jack
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 05/31/2023
Date Created:: 2023-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:16555 and etdadmin_upload_985359

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

Score-Informed and Hierarchical Methods for Computational Musical Scene Analysis

Description:: Imagine sitting in a room listening to some friends play a song. Perhaps one friend is playing guitar, another playing bass, and a third is playing drums. The musical content in this scene is extraordinarily complex, yet it contains many types of structure that is easy for us to comprehend....
Keyword:: Source Separation, Musical Scene Analysis, Automatic Music Transcription, and Music Information Retrieval
Subject:: Artificial intelligence, Music, and Computer science
Creator:: Manilow, Ethan
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 09/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_921115 and http://dissertations.umi.com/northwestern:16181

Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts

Description:: Data Science and related fields like Artificial Intelligence, Machine Learning, and Statistics provide indispensable research methods for understanding a wide variety of phenomena from large datasets. However, as methodical and empirical as these methods aim to be, there are many subjective and discretionary choices that the data scientist must make...
Keyword:: human computation, inter-annotator agreement, algorithmic bias, content moderation, and Machine Learning
Subject:: Information science, Artificial intelligence, and Computer science
Creator:: Cambo, Scott Allen
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/28/2021
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_810456 and http://dissertations.umi.com/northwestern:15510

Sound Event Annotation and Detection with Less Human Effort

Description:: Sound is one of the most important mediums to understand the environment around us. Identifying a sound event in prerecorded audio (such as a police siren, a dog bark, or a creaking door in soundscapes) leads to a better understanding of the context where the sound events occurred. To do...
Keyword:: Human-in-the-loop interface, Sound event detection, Sound event annotation, Audio signal processing, and Machine learning
Subject:: Artificial intelligence and Computer science
Creator:: Kim, Bongjun
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 01/21/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_739320 and http://dissertations.umi.com/northwestern:15064

Applications of Statistical Language Models in Complex Network Community Detection and Definition Modeling

Description:: Modeling human language is at the very frontier of machine learning and artificial intelligence. Statistical language models are probabilistic models that assign probabilities to sequences of words. For example, topic models are frequently used text-mining tools to organize a vast set of unstructured documents by exploring their theme structure. More...
Keyword:: definition modeling, statistical language models, deep learning, nonparametric Bayesian model, community detection, and neural language models
Subject:: Artificial intelligence, Statistics, and Computer science
Creator:: Zhu, Ruimin
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_685529 and http://dissertations.umi.com/northwestern:14809

Methods for Improving Natural Language Processing Techniques with Linguistic Regularities Extracted from Large Unlabeled Text Corpora

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

Mathematical Models for Human-Robot Systems in Assistive Robotics: Perception, Inference, and Assistance

Description:: Assistive robotics focuses on human-robot systems that provide physical support and assistance to the elderly and people with motor-impairments. While assistive machines, such as the powered wheelchair, can significantly enhance the functional independence of individuals, many users are challenged by their direct operation, the manner in which such systems are...
Keyword:: Human-Robot Interaction, Assistive Robotics, Shared Autonomy, Human-in-the-loop, Robot Perception, and Intent Inference
Subject:: Artificial intelligence, Robotics, and Computer science
Creator:: Jain, Siddarth
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Modified:: 01/11/2021
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_685925 and http://dissertations.umi.com/northwestern:14818

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Auditing Algorithmic Communication Flows

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

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

Score-Informed and Hierarchical Methods for Computational Musical Scene Analysis

Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts

Sound Event Annotation and Detection with Less Human Effort

Applications of Statistical Language Models in Complex Network Community Detection and Definition Modeling

Methods for Improving Natural Language Processing Techniques with Linguistic Regularities Extracted from Large Unlabeled Text Corpora

Mathematical Models for Human-Robot Systems in Assistive Robotics: Perception, Inference, and Assistance

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