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  2. FNLP: Foundations of Natural Language Processing
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  4. FNLP: Week 1: Overview, Ambiguity and Corpora

FNLP: 1-2: Introduction and Ambiguity

This page covers:

  • Slides of the first two lectures. They cover:
    • Course organization and goals 
    • What is Natural Language Processing? 
    • Why is it hard and why use probabilistic modeling / machine learning?
  • some required reading from Jurafsky and Martin
  • a quiz that tests your understanding of the material presented here (to appear soon).

Please do the required reading, and attempt the quiz after the second lecture.  If there is anything you don't understand, then you can ask questions in the lecture or on piazza.

Lecture slides and reading

Lecture 1 slides

Lecture 2 slides

J&M, 2nd edition, chapter 1

NOTE: The abbreviation J&M refers to the textbook: 
 
Dan Jurafsky and James H. Martin, Speech and Language Processing.
When we specify 2nd edition, we are referring to the version of the book that was published by Pearson International in 2008.
When we specify 3rd edition, then we will supply links to the drafts of the relevant parts of that book (since the third editiion isn't published yet, but the current draft is available here).

Quiz 1-2: Why NLP is hard?

 These questions are designed to test your understanding of the above course content; doing this quiz does not contribute to your overall grade.  Some questions require a text answer.  The answer should be short, at most 3 sentences each.  You can ask for formative feedback on these from your tutor or on piazza.  Other questions are multiple choice or they require a numeric answer: you will get immediate feedback for these. Please don't attempt this quiz until you have acquainted yourself with this lecture and the required reading.

Note that you need to be logged into Learn to do this quiz.

Files
01slides.pdf (1.48 MB)
02slides.pdf (5.48 MB)
License
All rights reserved The University of Edinburgh

Book traversal links for FNLP: 1-2: Introduction and Ambiguity

  • FNLP: Week 1: Overview, Ambiguity and Corpora
  • Up
  • FNLP: 3: Corpora

Navigation links

  • FNLP: Resource List
  • FNLP: Assessment
  • FNLP: Course Materials
    • FNLP: Week 1: Overview, Ambiguity and Corpora
      • FNLP: 1-2: Introduction and Ambiguity
      • FNLP: 3: Corpora
    • FNLP: Week 2: Annotation, Evaluation and Language Models
    • FNLP: Week 3: Important ML techniques for NLP
    • FNLP: Week 4: More ML methods, Morphology and POS tagging
    • FNLP: Week 5: POS Tagging, Context Free Grammars and Parsing
    • FNLP: Week 6: More Parsing and Compositional Semantics
    • FNLP: Week 7: Discourse Semantics and Lexical Semantics
    • FNLP: Week 8: Deep Learning for NLP
    • FNLP: Week 9: Neural Text Generation
    • FNLP Week 10: Transfer learning, Revision and Q&A
  • FNLP: Lab Exercises
  • FNLP: Tutorial Exercises
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