Section outline

  • May 17th, Friday (10:30-12:30)

    Question answering

    • Question answering (QA) and factoid questions
    • Text-based QA: IR + machine reading
    • Machine reading based on contextual embeddings
    • Start and end probabilities
    • Candidate score and fine-tuning loss
    • Negative examples and sliding windows

    Exercises

    • Spurious ambiguity

    References

    • Jurafsky and Martin, chapter 14

    Resources