[ad_1] Introduction: In today’s competitive and volatile business environment, organizations are constantly faced with uncertainty and unpredictable events that can have a significant impact on their operations and outcomes. Planning under uncertainty is a critical…
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[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 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 Document clustering is the process of grouping similar documents together based on their content or attributes. This technique is widely used in various applications such as information retrieval, text mining, and document organization.…
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[ad_1] Introduction In the era of big data, the need for efficient document discovery tools has become increasingly important. Topic modeling is a powerful technique that allows researchers to automatically discover the underlying themes or…
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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: Word sense disambiguation (WSD) is a crucial task in the field of lexical semantics, with the objective of determining the correct sense of a word within a given context. The ambiguity of natural…
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[ad_1] Introduction Part-of-speech tagging is a fundamental task in natural language processing that involves assigning grammatical categories such as noun, verb, adjective, etc., to words in a text. This process plays a crucial role in…
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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 Semantic Role Labeling (SRL) is a crucial task in natural language processing that involves identifying the semantic roles of words in a sentence and assigning them to their corresponding predicates. The goal of…
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