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Project on 'First Order Logic Approach' as part on Computational Liguistics course.

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Semantic Knowledge Representation and Reasoning: A First-Order Logic Approach

Project Overview

This project is developed as part of the Computational Linguistics 2 course at IIIT – Hyderabad, under the guidance of Instructors Parameswari Krishnamurthy and Rajakrishnan Rajkumar. The goal is to design a system that represents and reasons about semantic knowledge using a first-order logic approach, with a focus on exploring applications in AI.

Project Structure

Abstract

The abstract provides a concise overview of the project, summarizing key objectives, methods, results, and conclusions. It is approximately 200-250 words.

Introduction

In this section, we introduce the research problem or question, provide a literature review to establish context, and clearly state our research objectives and hypotheses.

Methodology

We describe the research methods, including data collection and experiments, and explain our first-order logic approach. We justify the suitability of our chosen methodology for the research.

Results

This section presents the results of our research, using figures, tables, and charts to illustrate findings. Statistical analyses are provided where applicable.

Discussion

We interpret the results, discuss their implications, address limitations or potential sources of bias, and compare our findings to existing literature.

Conclusion

The conclusion summarizes the main findings and their significance. Suggestions for future research avenues are also provided.

References

We cite all sources properly using the chosen citation style, ensuring consistency and accuracy in citations.

Appendices

This section includes supplementary material that supports our research but is not essential to understanding the main points.


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Project on 'First Order Logic Approach' as part on Computational Liguistics course.

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