ITC; Specialization 3: Representation Learning for Natural Language Processing (RL4NLP)

Kursusindhold

Representation Learning for Natural Language Processing (RL4NLP) is a course that focuses on studying techniques for representing language units such as words, sentences, documents, and knowledge in a numerical format. The course elaborates on methods for training such representations, interpreting them, and their application in downstream tasks.

Engelsk titel

ITC; Specialization 3: Representation Learning for Natural Language Processing (RL4NLP)

Uddannelse

IT & Cognition

Målbeskrivelse

At the examination, the student can demonstrate:

Knowledge and understanding of:

• theories and methods of relevance to representation learning for natural language elements such as words, sentences, documents, and knowledge when expressed through natural language

• problems related to embeddings of natural language elements into a numerical feature space and unveiling the implicit learning within deep learning methods for natural language processing.

Skills in

• discussing and documenting problems of relevance to language embeddings and representation learning

• proposing and evaluating solutions for relevant problems in representation learning

Competencies in

• describing and analysing advanced topics within representation learning through deep neural networks for language

• designing and documenting relevant solutions.
 

MA-level 
2019 curriculum

See all the curriculums.

Our teaching methodology will combine traditional lectures with interactive exercise classes and hands-on project work. We provide individual supervision for projects and assignments and offer students the opportunity to engage with current scientific literature by presenting papers during the course. As we evolve, we aim to transition towards a flipped classroom model to enhance the student's learning journey further.

Lectures: Engaging lectures and interactive sessions will provide comprehensive coverage of fundamental concepts and advanced topics in representation learning. They will also encourage participation and facilitate deeper understanding through discussions and Q&A sessions.
Project Work: Hands-on projects will allow students to apply their learning to real-world scenarios and tacke possible challenges in their study. They will be supported by individual supervision to ensure successful project completion.
Scientific Paper Presentations: Students will present scientific papers relevant to the course material. This activity will enhance research skills, presentation abilities, and critical analysis of scientific literature.
Transition to Flipped Classroom: In future course iterations, we will gradually implement the flipped classroom teaching method. Pre-recorded lectures and online resources will be provided before in-class sessions, allowing for more interactive and applied learning during class time. This approach enables the students to take ownership of their learning, fosters deeper engagement, and encourages active participation.

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Feedback ved afsluttende eksamen (ud over karakteren)
ECTS
7,5 ECTS
Prøveform
Skriftlig aflevering
Prøveformsdetaljer
Take-home assignment, optional subject
Hjælpemidler
Alle hjælpemidler tilladt
Bedømmelsesform
7-trins skala
Censurform
Ingen ekstern censur
Reeksamen

Conducted in the same manner as the original exam but can only be taken individually

  • Kategori
  • Timer
  • Holdundervisning
  • 28
  • Forberedelse (anslået)
  • 105
  • Eksamensforberedelse
  • 73
  • Total
  • 206

Kursusinformation

Undervisningssprog
Engelsk
Kursusnummer
HIOK0010EU
ECTS
7,5 ECTS
Niveau
Master
Varighed

1 semester

Placering
Efterår
Skemagruppe
Uden for skemastruktur
Studienævn
Studienævnet for Nordiske Studier og Sprogvidenskab
Udbydende institut
  • Institut for Nordiske Studier og Sprogvidenskab
Udbydende fakultet
  • Det Humanistiske Fakultet
Kursusansvarlig
  • Ali Basirat   (4-67726f68466e7b7334717b346a71)
Gemt den 10-04-2024

Are you BA- or KA-student?

Are you bachelor- or kandidat-student, then find the course in the course catalog for students:

Courseinformation of students