Current Topics in Natural Language Processing (SS 2022)


Deep Learning is an interesting new branch of machine learning where neural networks consisting of multiple layers have shown new generalization capabilities. The seminar will look at advances in both general deep learning approaches, and at the specific case of Neural Machine Translation (NMT). NMT is a new paradigm in data-driven machine translation. In Neural Machine Translation, the entire translation process is posed as an end-to-end supervised classification problem, where the training data is pairs of sentences and the full sequence to sequence task is handled in one model.

Here is a link to last semester's seminar.

There is a Munich interest group for Deep Learning, which has an associated mailing list, the paper announcements are sent out on this list. See the link here.


Alexander Fraser

Email Address: Put Last Name Here

CIS, LMU Munich

Hinrich Schütze

CIS, LMU Munich


Thursdays 14:45 (s.t.), location ZOOM ONLINE

You can install the zoom client or click cancel and use browser support (might not work for all browsers).

Contact Alexander Fraser if you need the zoom link.

New attendees are welcome. Read the paper and bring a paper or electronic copy with you, you will need to refer to it during the discussion.

Click here for directions to CIS.

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Date Paper Links Discussion Leader
April 7th, 2022 Runzhe Zhan, Xuebo Liu, Derek Wong, Lidia Chao (2021). Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. AAAI. paper Wen (Lavine) Lai
April 21st, 2022 Jannis Vamvas, Rico Sennrich (2021). On the Limits of Minimal Pairs in Contrastive Evaluation. Blackbox NLP. paper Marion Di Marco
May 5th, 2022 Verna Dankers, Elia Bruni, Dieuwke Hupkes (2022). The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study. ACL. paper Prisca Piccirilli
May 12th, 2022 Yoshinari Fujinuma, Jordan Boyd-Graber, Katharina Kann (2022). Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. ACL. paper Silvia Severini
June 2nd, 2022 Leonard Bärmann, Fabian Peller-Konrad, Stefan Constantin, Tamim Asfour, Alex Waibel (2021). Deep Episodic Memory for Verbalization of Robot Experience. IEEE Robotics Autom. Lett. paper Philipp Wicke
June 9th, 2022 Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams (2021). UnNatural Language Inference. ACL. paper Katerina Kalouli

Further literature:

You can go back through the previous semesters by clicking on the link near the top of the page.