NLPnorth (original) (raw)
Figure 1: The NLPnorth research unit at the Computer Science department of the IT University of Copenhagen is a team of faculty, postdocs, PhD students, assistants and students who work together on fundamental and applied problems for computational understanding of human languages and speech.
Members
Full-time Faculty
Postdocs
PhD Fellows
External Affiliated Members
Research Assistants & Support Staff
Visiting Scholars
PhD Graduates
Past Visiting Scholars
- Weerayut Buaphet (visiting PhD, VISTEC, Thailand, 2025)
- Hamidreza Amirzadeh (visiting researcher, Sharif University of Technology, 2024)
- Sadegh Jafari (visiting researcher, Iran University of Science & Technology, 2024)
- Anika Harju (visiting researcher, 2024)
- Irene Siragusa (visiting researcher, Università degli Studi di Palermo, 2024)
- Mehdi Parviz (visiting PhD, Rigshospitalet, University of Copenhagen, 2024)
- Tanja Samardžić (visiting researcher, University of Zurich, 2022)
- Sajawel Ahmed (visiting PhD, Goethe University Frankfurt, 2022)
- Ahmet Üstün (visiting PhD, 2019)
- Alan Ramponi (visiting PhD, 2019-2020)
- Joris Baan (affiliated visiting PhD, 2022)
- Anouk Braggaar (intern, 2020-2021)
- Musie Meressa Berhe (intern, 2020-2021)
Other Alumni
- Oliver Simon Jarvis (research assistant, 2024)
- Peter Brunsgaard Trolle (research assistant, 2023-2024)
- Dagmara Płonska (postdoctoral researcher, 2020-2021)
- Kristian Nørgaard Jensen (research assistant, 2020-2022)
- Sif Dam Sonniks (research assistant, 2020–2022)
- Ida Thrane (research assistant, 2020–2021)
- Simon Poulsen (research assistant, 2020-2021)
- Sigrid Klerke (postdoctoral researcher, 2018-2019)
Publications
Our most recent research outputs, with more over ITU's PURE.
2024
- A. Jiménez Sánchez, N. Avlona, D. Juodelyte, T. Sourget, C. Vang-Larsen, A. Rogers, H. D. Zajac and V. Cheplygina
Advances in Neural Information Processing Systems 38 (NeurIPS 2024) : Datasets and Benchmarks Track. Sep 2024. - Transactions of the Association for Computational Linguistics. Sep 2024.
- M. Gubri, D. T. Ulmer, H. Lee, S. Yun and S. J. Oh
Findings of the Association for Computational Linguistics ACL 2024. Aug 2024. - D. T. Ulmer, M. Gubri, H. Lee, S. Yun and S. J. Oh
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics. Aug 2024. - D. T. Ulmer, E. Mansimov, K. Lin, J. Sun, X. Gao and Y. Zhang
Findings of the Association for Computational Linguistics ACL 2024. Aug 2024. - N. Mundra, A. N. Kishore, R. Dabre, R. Puduppully, A. Kunchukuttan and M. M. Khapra
Proceedings of the 28th Conference on Computational Natural Language Learning. Jul 2024. - S. Tafreshi, A. Akula, J. Sedoc, A. Drozd, A. Rogers and A. Rumshisky
Jun 2024. - F. Rietz, E. Schaffernicht, S. Heinrich and J. A. Stork
Proceedings of the ICRA2024 Workshop on Human-aligned Reinforcement Learning for Autonomous Agents and Robots. May 2024. - F. Rietz, S. Heinrich, E. Schaffernicht and J. A. Stork
The Twelfth International Conference on Learning Representations (ICLR2023). May 2024. - A. Farinhas, C. Zerva, D. T. Ulmer and A. Martins
Twelfth International Conference on Learning Representations. May 2024. - M. Winkler, V. Juozapaityte, R. van der Goot and B. Plank
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). May 2024. - A. Rogers, M. Karpinska, A. Gupta, V. Lialin, G. Smelkov and A. Rumshisky
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). May 2024. MORE
Resources
Awesome Neural Adaptation
Survey of awesome work on neural unsupervised domain adaptation.
[repo] [paper]
BeeSL
Biomedical event extraction as sequence labelling.
[tool] [paper]
BiLSTM-Aux
BiLSTM sequence tagger in DyNet with multi-task learning / CRF / lexicon + contextual embedding support.
[tool] [paper]
CiteTracked
A longitudinal dataset of peer reviews and citations.
[paper]
DaCoref
Danish Coreference Dataset.
[data]
DaN+ Corpus
Danish Nested Named Entities and Lexical Normalization.
[data] [paper]
DaNewsroom
A Large-scale Danish Summarisation Dataset.
[data] [paper]
Danish NER
Evaluation Dataset for Danish Named Entity Recognition.
[data] [paper]
DDT
Danish Universal Dependencies Treebank.
[data] [paper]
DeepSig
Significance testing implementations, including Almost Stochastic Order, bootstrap and permutation.
[tool]
EMNLP 2021 PhD Course
Communicating state-of-the-art NLP research to a broader audience.
[blogs] [course]
EWT-NNER
Nested Named Entities for the English Web Treebank.
[data] [paper]
UD Frisian FAME
Dependency annotations for a subset of the Frisian FAME! speech corpus.
[data] [paper]
FTSpeech
A Danish speech corpus created from meetings of the Danish Parliament.
[data] [paper]
JobStack
Annotations for entities in job postings.
[data] [paper]
MaChAmp
Multi-task learning toolkit for sequence labeling, classification, generation, masked LM, dependency parsing and more.
[tool] [paper] [demo]
UniParse
Universal graph-based modular parsing framework for quick prototyping and comparison of parsers and parser components.
[tool] [paper]
xSID
Multilingual slot and intent detection.
[tool] [paper]
Jobs
Prospective PhD students and postdocs may consider applying for a yearly opportunity for getting your own funding via DDSA fellowships (see 2023 call for PhD and postdoc fellowships), with application deadlines about February. If you have an idea that matches the area of one of our full-time faculty, you are welcome to them directly. Please reach out introducing yourself and stating why you are interested in working with them specifically, as well as your background and any relevant experience.
PhD Life at NLPnorth
What would it be like to do a PhD in Denmark and ITU? Here's some experiences shared by NLPnorth PhD students.
Reach Out
Corridor 3E, Rued Langgaards Vej 7, 2300 København S
Contact: Head of research group Stefan Heinrich (stehe@itu.dk); our individual e-mails can be found on our personal webpages