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Bayesian inference for probabilistic reasoning – Complete Phd and Masters Thesis

Bayesian inference for probabilistic reasoning – 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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Information extraction for structured knowledge – Complete Phd and Masters Thesis

Information extraction for structured knowledge – Complete Phd and Masters Thesis

[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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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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Topic modeling for document discovery – Complete Phd and Masters Thesis

Topic modeling for document discovery – Complete Phd and Masters Thesis

[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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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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Part-of-speech tagging for grammatical categories – Complete Phd and Masters Thesis

Part-of-speech tagging for grammatical categories – Complete Phd and Masters Thesis

[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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Constituency parsing for phrase structure – Complete Phd and Masters Thesis

Constituency parsing for phrase structure – Complete Phd and Masters Thesis

[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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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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Event extraction for situational awareness – Complete Phd and Masters Thesis

Event extraction for situational awareness – Complete Phd and Masters Thesis

[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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