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Start 5 June 2026 03:58

Einde 5 June 2026

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CIQA: A Coding Inspired Question Answering Model - Session W1.4

Discover innovative approaches to question answering through a coding-inspired model that enhances natural language processing and information retrieval capabilities.
Association for Computing Machinery (ACM) via YouTube

Association for Computing Machinery (ACM)

6076 Cursussen


11 minutes

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Overzicht

Discover innovative approaches to question answering through a coding-inspired model that enhances natural language processing and information retrieval capabilities.

Lesprogramma

  • Introduction to Question Answering (QA)
  • Overview of QA systems
    Importance of QA in natural language processing (NLP)
  • Fundamentals of the CIQA Model
  • Explanation of the coding-inspired approach
    Key advantages of the CIQA model over traditional models
  • Core Components of NLP in CIQA
  • Tokenization and text pre-processing
    Named entity recognition (NER)
    Part-of-speech (POS) tagging
  • Information Retrieval Techniques
  • Overview of information retrieval in QA
    Leveraging databases and search algorithms
  • Deep Dive into the CIQA Model Architecture
  • Structure and flow of the CIQA model
    Coding paradigms influencing the design
  • Enhancing Information Retrieval Capabilities
  • Techniques for improving search accuracy
    Contextual understanding and relevance scoring
  • Implementing the CIQA Model
  • Step-by-step guide to setting up the model
    Tools and frameworks commonly used
  • Case Studies and Practical Applications
  • Real-world applications of CIQA
    Analysis of successful implementations
  • Hands-on Lab Sessions
  • Building a simple QA system using CIQA
    Testing and evaluating model performance
  • Future Trends in QA and NLP
  • Emerging technologies in question answering
    Anticipated advancements in CIQA and similar models
  • Course Recap and Q&A
  • Summary of key concepts
    Open floor for participant questions and discussion

Vakgebieden

Data Science