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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 in properly understanding the semantics of the text. Entity linking, on the other hand, is the task of linking mentions of entities in text to their corresponding entries in a knowledge base.

Combining coreference resolution with entity linking can help in improving the accuracy of information retrieval and extraction systems. This thesis aims to explore the challenges and approaches in integrating coreference resolution techniques with entity linking.

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 Terms

Chapter 2: Literature Review
2.1 Coreference resolution techniques
2.2 Entity linking approaches
2.3 Challenges in integrating coreference resolution with entity linking
2.4 Previous studies on coreference resolution for entity linking
2.5 Evaluation metrics for coreference resolution and entity linking
2.6 State-of-the-art systems for coreference resolution and entity linking
2.7 Applications of coreference resolution for entity linking
2.8 Future research directions in coreference resolution and entity linking
2.9 Summary of literature review

Chapter 3: System Design and Methodology
3.1 Data acquisition and preprocessing
3.2 Coreference resolution algorithms selection
3.3 Entity linking methods selection
3.4 Feature extraction and representation
3.5 System architecture design
3.6 Evaluation methodology
3.7 Performance metrics
3.8 Experimental setup
3.9 Implementation details

Chapter 4: System Implementation
4.1 Data collection and annotation
4.2 Implementation of coreference resolution algorithms
4.3 Integration of coreference resolution with entity linking
4.4 Fine-tuning entity linking models
4.5 System optimization and tuning
4.6 Performance evaluation
4.7 Analysis of results
4.8 Comparison with state-of-the-art systems

Chapter 5: Conclusion
5.1 Summary of findings
5.2 Contributions of the study
5.3 Limitations and future research directions
5.4 Conclusion and recommendations
5.5 Implications of the study

Thesis Overview on Coreference Resolution for Entity Linking:

Coreference resolution is a critical task in natural language processing systems, as it helps in identifying the references to entities in a text. Entity linking, on the other hand, is the task of linking mentions of entities in text to their corresponding entries in a knowledge base.

This thesis explores the integration of coreference resolution techniques with entity linking to enhance the accuracy of information retrieval and extraction systems. The literature review discusses the state-of-the-art techniques, challenges, and applications of coreference resolution for entity linking. The system design and methodology chapter presents the data acquisition, preprocessing, algorithm selection, and evaluation methodology. The system implementation chapter details the data collection, annotation, implementation of algorithms, and performance optimization. The conclusion chapter summarizes the findings, contributions, limitations, and future research directions.

Overall, this thesis aims to provide insights into the integration of coreference resolution with entity linking and its implications for natural language processing systems.

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