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Full-Text Articles in Library and Information Science
Toward A Theory-Based Natural Language Capability In Robots And Other Embodied Agents : Evaluating Hausser's Slim Theory And Database Semantics, Robin Kowalchuk Burk
Toward A Theory-Based Natural Language Capability In Robots And Other Embodied Agents : Evaluating Hausser's Slim Theory And Database Semantics, Robin Kowalchuk Burk
Legacy Theses & Dissertations (2009 - 2024)
Computational natural language understanding and generation have been a goal of artificial intelligence since McCarthy, Minsky, Rochester and Shannon first proposed to spend the summer of 1956 studying this and related problems. Although statistical approaches dominate current natural language applications, two current research trends bring renewed focus on this goal. The nascent field of artificial general intelligence (AGI) seeks to evolve intelligent agents whose multi-subagent architectures are motivated by neuroscience insights into the modular functional structure of the brain and by cognitive science insights into human learning processes. Rapid advances in cognitive robotics also entail multi-agent software architectures that attempt …
Qualitative Information In Annual Reports & The Detection Of Corporate Fraud : A Natural Language Processing Perspective, Sunita Goel
Legacy Theses & Dissertations (2009 - 2024)
High profile cases of fraudulent financial reporting such as those that occurred at Enron and WorldCom have shaken public confidence in the U.S. financial reporting process and have raised serious concerns about the roles of auditors, regulators, and analysts in financial reporting. In order to address these concerns and restore public confidence, the Sarbanes-Oxley Act (SOX) of 2002 was enacted. However, SOX has not lived up to its promise. Numerous cases of fraudulent financial reporting have surfaced in the post-SOX era. So far, the major thrust of research has been on examining fraud that has already been discovered. This dissertation …