[ad_1] Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9 Definition of…
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[ad_1] Introduction In recent years, there has been a growing interest in reinforcement learning as a method for adaptive control in complex and uncertain environments. Reinforcement learning is a type of machine learning that enables…
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[ad_1] Introduction Knowledge representation is a key aspect of intelligent systems, enabling them to understand and reason about the world around them. By encoding information in a form that can be easily processed by algorithms,…
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[ad_1] Introduction Information extraction is the process of automatically extracting structured knowledge from unstructured or semi-structured sources. It plays a critical role in various fields such as natural language processing, data mining, and knowledge management.…
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[ad_1] Introduction Document classification is the process of categorizing text documents into different predefined classes or categories. It is a fundamental task in information retrieval and natural language processing, with applications in various fields such…
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[ad_1] Introduction Semantic similarity is a crucial concept in the field of Natural Language Processing (NLP) that aims to measure the relatedness between words based on their meanings. The ability to accurately determine the semantic…
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[ad_1] Introduction: Constituency parsing is a fundamental task in natural language processing that involves analyzing the structure of a sentence based on its syntactic constituents. In phrase structure parsing, sentences are parsed based on the…
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[ad_1] Introduction: Event extraction is a crucial aspect of situational awareness, which is the perception of the elements in an environment within a volume of time and space, the comprehension of their meaning, and the…
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[ad_1] Introduction Relation extraction is a critical task in natural language processing and information extraction that involves identifying and extracting relationships between entities mentioned in text. This process plays a crucial role in knowledge base…
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[ad_1] Introduction: Named Entity Recognition (NER) is a crucial task in the field of natural language processing (NLP) and information extraction. It involves identifying and classifying named entities such as people, organizations, locations, and dates…
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