Advancements in Open Question Answering Over Text and Tables
Open question answering over tables and text is a challenging area in natural language processing. Various paradigms such as text-based QA, table/KB-only QA, and combined text and table QA have been explored. Incompleteness in answering specific questions like identifying the runner-up song on Billb
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Understanding Combinators and Computability: Unveiling the Foundations
Delve into the realm of combinatorial logic and computability through the lens of SKI combinators, exploring their Turing completeness and connection to algorithmic decision-making. Discover the historical significance of Hilbert's program, Godel's incompleteness proofs, the Church-Turing thesis, la
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Evolution of Proof Systems in Mathematics: From Euclid to Godel
Exploring the journey of proof systems in mathematics from Euclid's era to Godel's incompleteness theorem, highlighting the challenges and evolution in understanding truth, halting problems, and the impact on number theory. The concept of designing a proof system that proves everything and the impli
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Modeling Complete and Incomplete Data in Database Systems
The discussion revolves around the partial-closed world assumption, contrasting incompleteness as default (IAD) with completeness as default (CAD). It delves into querying completeness reasoning, translating between CAD and IAD, and the implications of using IAD over CAD in database modeling. Variou
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Exploring Hilbert's Program and Turing Machines in Mathematics
Delve into Hilbert's Program and its impact on the understanding of mathematical truth, from attempts to resolve paradoxes to the concept of formalization of effective procedures. Understand the significance of Godel's incompleteness result in the context of algorithmic decision-making. Explore the
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Importance of Data Preprocessing in Real-World Data Analysis
Data preprocessing is essential due to the inherent dirtiness of real-world data, such as incompleteness, noisiness, and inconsistencies. This process involves cleaning, integration, transformation, and reduction of data to ensure quality for effective data mining and decision-making. The need arise
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Challenges and Opportunities in Building Confidence with Administrative Data
This paper discusses the challenges and opportunities in building confidence with administrative-based data, focusing on the case of the United Republic of Tanzania. It covers topics such as the background of administrative data, fundamental principles of official statistics, legal aspects, incomple
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