wiki:en/NLPSeminar

Version 109 (modified by Ales Horak, 8 months ago) (diff)

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NLP lab seminar

The laboratory seminar is primarily meant to present the activities of the active laboratory members: what they are doing, what results they have, what problems they have, which subtasks they are not able to solve and would like to have a collaboration of someone else, etc. Occasionally, and rather rarely, presentations by related department members can also be expected.

The seminar is now held on Wednesdays at 10:00 in B203 (Autumn 2023) and is open to anyone interested in the subject (does not have to be active in the lab). It can also be taken as a course PV173 NLP Lab Seminar and earn three credits for active participation, including presentation of your results (achieved in NLP Center projects or on a relevant issue). The seminar is given in English. Presentations can be in English, Czech or Slovak.

Selected presentations are also presented online at authenticated ZOOM. Please upload any attachments to the online presentation by following the instructions. Uploaded videos are available on the video page.

Presentations wanted:

Presentations offered:

Seminar programme in the autumn semester 2023

date programme

20.9.

seminar programme for this semester
Aleš Horák: ​RASLAN 2023 Call for Papers

27.9.

4.10.

11.10.

18.10.

25.10.

1.11.

8.11.

15.11.

22.11.

29.11.

6.12.

13.12.

Seminar programme in the spring semester 2023

date programme

14.2.

seminar programme for this semester

21.2.

Pavel Rychlý: Data Processing

28.2.

Mauro Le Donne: Tokenisation of Italian Pre-trained Models
Vítek Suchomel: Text processing in Linux – hands on example

7.3.

David Porteš: Discussion about Research Tools

14.3.

Katarína Hudcovicová: Propaganda detection
Ondřej Sotolář: Explainability Tools – link to presentation

21.3.

Hien Thi Ha: Information extraction from scanned documents

28.3.

Edoardo Signoroni: Overview of Low-Resource Machine Translation

4.4.

Michal Měchura: Issues and challenges when encoding dictionaries on computers

11.4.

Marek Medveď: Full AQA pipeline
Krištof Anetta: Medical text content understanding

18.4.

Hien Thi Ha: Information extraction from scanned documents

25.4.

Ondřej Metelka: Automatic morphological paradigm construction
Radoslav Sabol: Optimizing the Inference of Neural Transformer Models
Veronika Andrlová: Training a Czech Discussion Robot

2.5.

Tomáš Houfek: Czech Medical Language Model and Document Classification
Petr Zelina: Medical Data Processing

9.5.

Michaela Denisová: Cross-lingual embedding models
Ondřej Sotolář: Conference report: AISTATS, EACL


You may also look at the seminar programme in preceding semesters.

Attachments (4)