View Schedule: GoaFOSS
CFP Submissions: GoaFOSS

Proposed by: Om Verma

NLP, Then vs Now: Unleashing the Power of Transformers

  1. Title: "NLP, Then vs Now: Unleashing the Power of Transformers"
  2. Introduction:
  3. Introduce the concept of open-source software and its significance in the field of NLP.
  4. Explain how open-source software encourages collaboration, transparency, and community-driven development.
  5. Examine the transition from traditional NLP methods to the revolutionary Transformers model.
  6. Advantages of Open Source Software in NLP:
  7. Accessibility: Discuss how open-source NLP tools and libraries enable widespread access to cutting-edge technology.
  8. Rapid Innovation: Explain how open-source software accelerates innovation by allowing developers to build upon existing work and contribute enhancements.
  9. Community Collaboration: Emphasize the power of open source communities in sharing knowledge, and best practices, and collectively improving NLP tools.
  10. Introduction to Transformers:
  11. Introduce the concept of Transformers as a groundbreaking approach in NLP.
  12. Explain the key components, such as self-attention mechanisms and positional encoding.
  13. Highlight the ability of Transformers to capture long-range dependencies and context.
  14. Performance Comparison:
  15. Compare the performance of traditional NLP methods with Transformers.
  16. Showcase the advancements achieved by Transformers in various NLP tasks.
  17. Discuss improvements in language understanding, machine translation, sentiment analysis, etc.
  18. Examples of Open Source NLP Tools and Libraries:
  19. Mention prominent open-source NLP frameworks like NLTK, SpaCy, and Hugging Face's Transformers.
  20. Discuss their impact on the NLP community and their role in advancing NLP research and applications.
  21. Showcase how these tools have democratized NLP and empowered developers worldwide.
  22. Real-World Applications:
  23. Present real-world applications of Transformers in NLP.
  24. Showcase success stories in chatbots, language generation, information retrieval, etc.
  25. Highlight how Transformers have revolutionized the field and opened up new possibilities.
  26. Conclusion:
  27. Emphasize the transformative impact of Transformers on NLP tasks.
  28. Summarize the advantages of open-source software in NLP.
  29. Encourage the audience to explore and contribute to open-source NLP projects.


Source code/Reference: http://ijsdip.org/article/multiclass-classification-of-intellectual-quotes-using-transformers/

Talk duration: