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Introduction

Natural language understanding (NLU) is a branch of artificial intelligence that focuses on the ability of computers to understand human language in a way that is both accurate and nuanced. In recent years, there has been an increasing interest in using NLU for automated contract analysis, which involves the extraction of key information from legal contracts to aid in decision-making processes. This thesis aims to explore the potential of NLU in this domain and develop a framework for automated contract analysis using advanced natural language processing techniques.

Chapter 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 terms

Chapter 2: Literature Review
2.1 Overview of natural language understanding
2.2 Applications of NLU in contract analysis
2.3 Challenges in automated contract analysis
2.4 Legal and ethical considerations in NLU for contract analysis
2.5 Current trends in NLU for contract analysis
2.6 Case studies of NLU implementations in contract analysis
2.7 Comparison of NLU tools for contract analysis
2.8 NLU algorithms and models
2.9 Evaluation metrics for NLU in contract analysis
2.10 Future directions in NLU for contract analysis

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection and preprocessing
3.3 NLU techniques and tools
3.4 Experimental setup
3.5 Performance evaluation metrics
3.6 Data analysis methods
3.7 Ethical considerations
3.8 Limitations of the study

Chapter 4: Discussion of Findings
4.1 Analysis of NLU techniques in contract analysis
4.2 Comparison of NLU tools and algorithms
4.3 Performance evaluation results
4.4 Implications of findings
4.5 Recommendations for future research
4.6 Practical applications of NLU in contract analysis

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

Thesis Overview

Natural language understanding (NLU) plays a crucial role in transforming the way legal contracts are analyzed and interpreted. This thesis aims to explore the potential of NLU in automated contract analysis by leveraging advanced natural language processing techniques. The literature review highlights the current trends, challenges, and applications of NLU in contract analysis, setting the stage for the development of a novel framework. The research methodology outlines the experimental setup, data collection, NLU techniques, and performance evaluation metrics used in the study. The discussion of findings analyzes the results of the study, providing insights into the effectiveness of NLU in contract analysis. The conclusion summarizes the key findings, contributions, limitations, and future research directions of the study. Overall, this thesis contributes to the growing body of knowledge on NLU for automated contract analysis and offers valuable insights for practitioners and researchers in the field.

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