[ad_1] Introduction Dialogue systems are computer-based systems that enable human-computer interaction through natural language conversations. These systems have various applications, such as virtual assistants, customer service chatbots, and language learning tools. Conversational agents, also known…
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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 In today’s world of information overload, the ability to quickly and effectively summarize large amounts of text is becoming increasingly important. Automatic summarization is a field of study that aims to create concise…
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[ad_1] Introduction Plagiarism is a serious issue in academic and professional settings, as it involves the unauthorized use of someone else’s work and claiming it as one’s own. With the advancement of technology, the ease…
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[ad_1] Introduction Computational linguistics is a field that combines the study of linguistics and computer science to develop algorithms and models for understanding and processing natural language. With the increasing use of computers and digital…
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[ad_1] Introduction: Abstract interpretation is a powerful technique used in the field of program analysis to approximate the behavior of programs. By abstracting the details of a program’s execution, abstract interpretation allows for the efficient…
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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 Inductive logic programming (ILP) is a subfield of machine learning and artificial intelligence that combines logic programming and traditional machine learning techniques to induce logic programs from data. Rule learning, which involves the…
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[ad_1] Introduction Knowledge base completion is a fundamental task in the field of knowledge representation and reasoning. It aims to automatically infer missing facts in a knowledge base by leveraging existing knowledge and relationships. The…
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