[ad_1] Introduction Question answering (QA) systems have gained immense popularity in recent years as they provide users with a more natural and intuitive way to interact with information retrieval systems. These systems allow users to…
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[ad_1] Introduction Text generation for creative writing is an emerging field that combines natural language processing techniques with creative writing principles to automatically generate text that is engaging, original, and coherent. This thesis will explore…
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[ad_1] Introduction In this digital age where information is constantly being generated and consumed, the ability to effectively convey ideas through written text is crucial. However, not all individuals have the same level of reading…
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[ad_1] Introduction: Author attribution for stylometric analysis is a field of study that focuses on identifying the authorship of a particular text or document by analyzing its writing style and linguistic characteristics. This field has…
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[ad_1] Thesis Overview: Aspect-based sentiment analysis has gained significant attention in recent years due to the increasing volume of user-generated content on the internet. This technique allows for the extraction of fine-grained opinions from text…
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[ad_1] Introduction Sentiment analysis, also known as opinion mining, is the process of determining the attitude or emotional tone behind a piece of text. With the increasing popularity of social media and the vast amount…
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[ad_1] Introduction: Symbolic execution is a powerful technique used in program analysis to explore multiple execution paths of a program by representing program inputs symbolically. By treating inputs as symbols, symbolic execution allows for the…
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[ad_1] Introduction Model checking is a formal verification technique that has gained significant popularity in recent years for verifying the correctness of systems. It involves the automatic verification of system properties against a formal model…
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[ad_1] Introduction Automated planning is a crucial aspect of artificial intelligence that aims to create intelligent systems capable of making decisions in pursuit of achieving specific goals. It involves the formulation of a sequence of…
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[ad_1] Introduction Probabilistic logic programming is a powerful framework that combines the expressiveness of logic programming with the ability to reason under uncertainty. This approach has been widely used in various fields such as artificial…
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