IN4080 – Natural Language Processing

Schedule, syllabus and examination date

Choose semester

Exams after the reopening

As a general rule, exams will be conducted without physical attendance in the autumn of 2021, even after the reopening. See the semester page for information about the form of examination in your course. See also more information about examination at the MN Faculty in 2021.

Course content

The course gives a comprehensive overview over modern Natural Language Processing (NLP) with main emphasis on probabilistic and machine learning techniques. Methodology for experiments based on machine learning applied to language data together with evaluation of such experiments is central. The course includes an overview over typical NLP applications, like information extraction, machine translation, question-answering systems, and a more in-depth study of one such application. In addition, the steps in a typical NLP system, like tagging, parsing, named entity recognition, relation extraction will be considered. The course will prepare the students for a master´s thesis in Informatics: Language Technology.

Learning outcome

After completing IN4080:

  • You are familiar with the most central applications of Natural Language Processing (NLP) and have in-depth knowledge of at least one application
  • You are familiar with the central research methods and technologies used in NLP
  • You can carry out NLP experiments involving machine learning and evaluate the results
  • You are familiar with the steps in a typical NLP system and you are able to select and apply tools for these steps
  • You are familiar with the concept of probability and how it is applied in NLP methods and in evaluation

Admission to the course

Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.

Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.

Overlapping courses

Teaching

Teaching: 2-6 hours a week, varying through the semester between lectures and lab sessions (non-obligatory).

There will be some mandatory projects which must be passed.

Examination

4 hours written digital exam

It will also be counted as one of your three attempts to sit the exam for this course, if you sit the exam for one of the following courses: INF5830 – Natural language processing (continued)

Examination support material

No examination support material is allowed.

Language of examination

You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Resit an examination

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Dec. 4, 2021 9:20:56 AM

Facts about this course

Credits
10
Level
Master
Teaching
Autumn
Examination
Autumn
Teaching language
English