Introduction to Natural Language Processing. The Course Presents Methods For Representing Human Language at Different Levels, Moving From Simple Bag-of Words Representations, Through Sequential Models, To Syntactic and Semantic Structures. at Each Level, The Course Develops Several Machine Learning Models and Algorithms For Solving Various Natural Language Processing Tasks, Such As Text Classification, Sequence Labeling, Syntactic Parsing, and Semantic Parsing. The Course Discusses Models Such As Naive Bayes, Logistic Regression, Hidden Markov Models, Various Deep Neural Networks And Appropriate Learning Algorithms For Estimating Their Parameters. The Course Emphasizes Implementation of Classical and Modern Natural Language Processing Models. Learning Ouctomes# By The End of The Course The Student Will Be Able To# 1. Model The Standards Levels Of Linguistic Structures Using Formal Grammars Or Statistical And Computational Models. 2. Identify and Carry Out Proper Experimental For Training and Evaluating Natural Language Processing Systems. 3. Manipulate Probabilities and Estimate Parameters of Structured Models Using Supervised Training Methods. 4. Implement Simple Models Of Language and Employ and Adapt Theim in Service of Solving Natural Language Processing Problems.

Faculty: Computer Science
|Undergraduate Studies |Graduate Studies
Pre-required courses

234247 - Algorithms 1

Course with no extra credit

97215 - Methods in Natural Language Processing 97216 - Natural Language Processing

Semestrial Information

Weekly Hours

3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Project Hours

Go to Course Page

Go to Course Page


Responsible(s)

Yonatan Belinkov

Notes
  • ההרשמה לקורס תתאפשר רק לסטודנטים שעומדים בדרישות הקדם כםי שמופיעות בסילבוס. סטודנטים שלא יעמדו בדרישה - תוסר הרשמתם.

Exams
Session A: 20-07-2023 13:00 - 16:00
  • טאוב 3. 5. 6. 7. 8.
Session B: 09-10-2023 13:00 - 16:00
  • אולמן 311. 506. 507.

Quizzes
Session A: 28-05-2023 17:30 - 19:30
  • טאוב 3, 4, 6, 7, 8, 9,
Session B: 11-06-2023 17:30 - 19:30
  • טאוב 3, 4, 6, 7, 8, 9,

Registration Groups
11
Lecture Monday 10:30 - 12:30 אולמן 804 | Yonatan Belinkov
Exercise Monday 12:30 - 13:30 אולמן 804 | Tal Haklay | Shaked Brody | Zachary Bamberger
Weekly Hours

3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Project Hours

Go to Course Page

Go to Course Page


Responsible(s)

Yonatan Belinkov


Exams
Session A: 05-07-2022 09:00 - 12:00
  • טאוב 3. 4. 6.

Quizzes
Session A: 15-05-2022 16:30 - 18:30
  • טאוב 3, 5, 6,
Session B: 19-06-2022 16:30 - 18:30
  • טאוב 3, 5, 6,

Registration Groups
11
Lecture Tuesday 10:30 - 12:30 אולמן 705 | Yonatan Belinkov
Exercise Tuesday 12:30 - 13:30 אולמן 705 | Shaked Brody
Weekly Hours

3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 2 Project Hours

Go to Course Page

Go to Course Page


Responsible(s)

Yonatan Belinkov

Notes
  • ניתן לקחת את הקדם גם במקביל. באישור המרצה גם סטודנטים בעלי רקע
  • שונה יוכלו להירשם לקורס.

Exams
Session A: 15-02-2021 09:00 - 12:00
Registration Groups
11
Lecture Tuesday 10:30 - 12:30 טאוב 3 | Yonatan Belinkov
Exercise Tuesday 12:30 - 13:30 טאוב 3 | Uri Alon | Yana Dranker