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Reasoning under uncertainty for decision-making – Complete Phd and Masters Thesis

Reasoning under uncertainty for decision-making – Complete Phd and Masters Thesis

[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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Knowledge representation for intelligent systems – Complete Phd and Masters Thesis

Knowledge representation for intelligent systems – Complete Phd and Masters Thesis

[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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Document clustering for grouping similar documents – Complete Phd and Masters Thesis

Document clustering for grouping similar documents – Complete Phd and Masters Thesis

[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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Word embedding for vector representation – Complete Phd and Masters Thesis

Word embedding for vector representation – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of natural language processing (NLP) has seen significant advancements in the use of word embeddings for vector representation. Word embeddings are mathematical representations of words in a continuous…

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Semantic similarity for word relatedness – Complete Phd and Masters Thesis

Semantic similarity for word relatedness – Complete Phd and Masters Thesis

[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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Dependency parsing for syntactic analysis – Complete Phd and Masters Thesis

Dependency parsing for syntactic analysis – Complete Phd and Masters Thesis

[ad_1] Introduction Dependency parsing is a crucial aspect of natural language processing that involves analyzing the grammatical structure of sentences to establish relationships between words. It enables the identification of syntactic dependencies within a sentence,…

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Semantic role labeling for predicate-argument structure – Complete Phd and Masters Thesis

Semantic role labeling for predicate-argument structure – Complete Phd and Masters Thesis

[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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Coreference resolution for entity linking – Complete Phd and Masters Thesis

Coreference resolution for entity linking – Complete Phd and Masters Thesis

[ad_1] Introduction Coreference resolution is the task of determining when two or more expressions in a text refer to the same entity. This is a crucial component in natural language processing systems, as it helps…

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Spelling correction for text normalization – Complete Phd and Masters Thesis

Spelling correction for text normalization – Complete Phd and Masters Thesis

[ad_1] Introduction Spelling errors are a common occurrence in written text, and they can significantly impact the clarity and readability of the text. Spelling correction is the process of automatically detecting and correcting spelling errors…

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Grammatical error correction for language learning – Complete Phd and Masters Thesis

Grammatical error correction for language learning – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s globalized world, the ability to communicate effectively in English is becoming increasingly important. However, for many language learners, mastering the intricacies of English grammar can be a daunting task. Grammatical errors…

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