NLP Essentials
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  • Overview
    • Syllabus
    • Schedule
    • Development Environment
    • Homework
  • Text Processing
    • Frequency Analysis
    • Tokenization
    • Lemmatization
    • Regular Expressions
    • Homework
  • Language Models
    • N-gram Models
    • Smoothing
    • Maximum Likelihood Estimation
    • Entropy and Perplexity
    • Homework
  • Vector Space Models
    • Bag-of-Words Model
    • Term Weighting
    • Document Similarity
    • Document Classification
    • Homework
  • Distributional Semantics
    • Distributional Hypothesis
    • Word Representations
    • Latent Semantic Analysis
    • Neural Networks
    • Word2Vec
    • Homework
  • Contextual Encoding
    • Subword Tokenization
    • Recurrent Neural Networks
    • Transformer
    • Encoder-Decoder Framework
    • Homework
  • NLP Tasks & Applications
    • Text Classification
    • Sequence Tagging
    • Structure Parsing
    • Relation Extraction
    • Question Answering
    • Machine Translation
    • Text Summarization
    • Dialogue Management
    • Homework
  • Projects
    • Speed Dating
    • Team Formation
    • Proposal Pitch
    • Proposal Report
    • Live Demonstration
    • Final Report
    • Team Projects
      • Team Projects (2024)
    • Project Ideas
      • Project Ideas (2024)
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On this page
  • Proposal
  • Header
  • Abstract
  • Introduction
  • Related Work
  • Approach
  • Results
  • Conclusion
  • References
  • Contributions
  • Submission

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  1. Projects

Final Report

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Last updated 4 months ago

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Proposal

Submit a final report in PDF format consisting of 5-8 pages (excluding references) using the provided . Change the section titles as needed.

Header

  • Project Title (create an engaging and impactful title)

  • Course ID and Course Name

  • Team Member Information:

    • Full names

    • Academic majors

    • Contact information

Abstract

A concise summary (200-300 words) addressing:

  • Complete project overview and objectives

  • Intellectual merit and technical innovation

  • Broader societal and field impact

Introduction

  • Objectives

    • Clear statement of project goals

    • Specific deliverables achievable within semester

    • Technical scope and boundaries

  • Motivation

    • Project's societal value and importance

    • Target beneficiaries or applications

    • Potential real-world impact

  • Problem Statement

    • Specific NLP challenge being addressed

    • Current limitations in the field

    • Technical barriers to overcome

  • Innovation Component

    • Unique aspects of proposed approach

    • Comparative analysis with existing solutions

    • Technical or methodological advances

Related Work

  • Analysis of relevant academic research

  • Review of existing industry solutions

  • Identification of current limitations

  • Differentiation of proposed approach

Approach

  • Methodology

    • Detailed technical approach

    • Development framework

    • Implementation strategy

    • Quality assurance methods

  • Research (if applicable)

    • Dataset description and preparation

    • Experimental design

    • Evaluation metrics

    • Validation approach

Results

  • Performance Analysis

    • Quantitative results and metrics

    • Qualitative observations

    • System capabilities and limitations

  • Limitations

    • Current system constraints

    • Technical barriers encountered

    • Areas for improvement

Conclusion

  • Summary

    • Project achievements and contributions

    • Key lessons learned

    • Technical and practical insights

  • Future Work

    • Potential improvements

    • Extension opportunities

    • Research directions

References

Properly formatted citations of all referenced work.

Contributions

In the Appendix, list each team member's name and their percentage of contribution to the proposal development. The percentages should total 100%.

Submission

Submit your final report in PDF to Canvas.

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