TU Berlin

Quality and Usability LabQuality and Usability

Inhalt des Dokuments

zur Navigation

Quality and Usability Seminar

(2 SWS/3 LP; SoSe/WiSe mit wechselndem Thema)
LV-Nummer: 0434 L 905

Zeit: Montags 16:00-18:00, erstmals am 23.04.
Raum: Auditorium 1, Geb. TEL 20. Etage
Contact: babak.naderi[at]tu-berlin.de

Topic: Natural Language Processing
in collaboration with the Language Technology Research Department of DFKI

Sprache: English


Natural Language Processing (NLP, sometimes also referred as Human Language Processing and more recently as Human Language Understanding) comprises a wide range of topics dealing with the computational treatment of language including structural analysis (e.g., syntax, semantics), knowledge processing (e.g., analytics), language generation (e.g., machine translation), and communication (dialogue, chatbots).

Techniques are today mostly data-based using Machine Learning (ML), but in some areas, also “classical” modeling is used.

In this seminar we plan to cover the following topics (depending on attendees’ interests):

  • Information Retrieval
  • Machine Translation & Evaluation
  • Relation Extraction
  • Summarisation
  • ML in NLP
  • Deep Learning in NLP
  • Chatbots / dialogue systemes
  • Knowledge Graphs
  • Topic Modelling
  • Linguistic Linked Open Data / Resources in general
  • Training and Evaluation Data (Annotation, etc.)
  • Question Answering / Reading Comprehension
  • Linguistic Challenges for NLP

Tasks and additional Information:

As this seminar requires making yourself familiar with a potentially new topic, we welcome especially highly motivated students. Prior knowledge in some of the topics would be nice, but we don’t require it. In addition:

  • The number of participants is limited to 26
  • Participant should perform literature research on a chosen topic, give a presentation on that and deliver a written report.





Schnellnavigation zur Seite über Nummerneingabe