Natural Language Processing (NLP)

Research output

Research output per year 2018 2019 2020 2021 2022 2023

• 97 Article in proceedings
• 9 Anthology
• 8 Journal article
• 4 Paper
• 7 More
  • 2 Conference abstract for conference
  • 2 Preprint
  • 1 Book chapter
  • 1 Conference article
  • 1 Other contribution

Research output per year

Research output per year

Search results

• 2023

  DanTok: Domain Beats Language for Danish Social Media POS Tagging

  Hansen, K. K., Barrett, M. J., Müller-Eberstein, M., Damgaard, C., Eriksen, T. & van der Goot, R., 2023, Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa). p. 271–279 9 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Uncertainty 100%
  • Natural language processing systems 97%

• Dyslexia Prediction from Natural Reading of Danish Texts

  Björnsdóttir, M., Hollenstein, N. & Barrett, M. J., 2023, Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa). p. 60-70 11 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Dyslexia 100%
  • Reading 69%
  • Machine Learning 17%
  • Eye Movements 16%
  • Research Design 12%

• ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain

  Zhang, M., van der Goot, R. & Plank, B., Jul 2023, The 61st Annual Meeting of the Association for Computational Linguistics. Toronto, Canada: Association for Computational Linguistics, Vol. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). p. 11871–11890 20 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Taxonomies 100%
  • Labeling 30%

• Findings of the Association for Computational Linguistics: ACL 2023

  Rogers, A. (ed.), Boyd-Graber, J. (ed.) & Okazaki, N. (ed.), 1 Jul 2023, Toronto, Canada: Association for Computational Linguistics.

  Research output: Book / Anthology / Report / Ph.D. thesis › Anthology › Research › peer-review

  Open Access

• Gaze Reveals Emotion Perception: Insights from Modelling Naturalistic Face Viewing

  Seikavandi, M. J. & Barrett, M. J., 2023, Proceedings of the 22nd International Conference on Machine Learning and Applications (ICMLA).

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  File

• Mind Your Language (Model): Fact-Checking LLMs and Their Role in NLP Research and Practice

  Luccioni, A. S. & Rogers, A., 1 Aug 2023, arXiv.

  Research output: Other contribution › Research

  Open Access

  • functionality 100%
  • discourse 55%
  • evidence 21%

• Native Language Prediction from Gaze: a Reproducibility Study

  Skerath, L., Toborek, P., Zielińska, A., Barrett, M. J. & van der Goot, R., 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop). p. 152-159 8 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

• On Language Spaces, Scales and Cross-Lingual Transfer of UD Parsers

  Samardžić, T., Gutierrez-Vasques, X., van der Goot, R., Müller-Eberstein, M., Pelloni, O. & Plank, B., Dec 2023, Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL). Association for Computational Linguistics, Vol. 26. p. 266-281 16 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • coverage 100%
  • linguistics 87%

• Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation

  Ulmer, D. T., Hardmeier, C. & Frellsen, J., 4 Apr 2023, In: Transactions on Machine Learning Research.

  Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review

  Open Access

  • Deep learning 100%
  • Uncertainty 70%
  • Surveying 32%
  • Markov chains 27%
  • Deep neural networks 27%

• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

  Rogers, A. (ed.), Boyd-Graber, J. (ed.) & Okazaki, N. (ed.), 1 Jul 2023, Toronto, Canada: Association for Computational Linguistics.

  Research output: Book / Anthology / Report / Ph.D. thesis › Anthology › Research › peer-review

  Open Access

• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

  Rogers, A. (ed.), Boyd-Graber, J. (ed.) & Okazaki, N. (ed.), 1 Jul 2023, Toronto, Canada: Association for Computational Linguistics.

  Research output: Book / Anthology / Report / Ph.D. thesis › Anthology › Research › peer-review

  Open Access

• Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)

  Can, B. (ed.), Mozes, M. (ed.), Cahyawijaya, S. (ed.), Saphra, N. (ed.), Kassner, N. (ed.), Ravfogel, S. (ed.), Ravichander, A. (ed.), Zhao, C. (ed.), Augenstein, I. (ed.), Rogers, A. (ed.), Cho, K. (ed.), Grefenstette, E. (ed.) & Voita, L. (ed.), 1 Jul 2023, Toronto, Canada: Association for Computational Linguistics.

  Research output: Book / Anthology / Report / Ph.D. thesis › Anthology › Research › peer-review

  Open Access

• Program Chairs' Report on Peer Review at ACL 2023

  Rogers, A., Karpinska, M., Boyd-Graber, J. & Okazaki, N., 1 Jul 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Toronto, Canada: Association for Computational Linguistics, p. xl-lxxv

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research

  Open Access

  • Natural language processing systems 100%
  • Transparency 42%
  • Decision making 29%
  • Trajectories 28%

• The Fourth Workshop on Insights from Negative Results in NLP

  Tafreshi, S. (ed.), Akula, A. (ed.), Sedoc, J. (ed.), Drozd, A. (ed.), Rogers, A. (ed.) & Rumshisky, A. (ed.), 1 May 2023, Dubrovnik, Croatia: Association for Computational Linguistics.

  Research output: Book / Anthology / Report / Ph.D. thesis › Anthology › Research › peer-review

  Open Access

• The ROOTS Search Tool: Data Transparency for LLMs

  Piktus, A., Akiki, C., Villegas, P., Laurençon, H., Dupont, G., Luccioni, S., Jernite, Y. & Rogers, A., 1 Jul 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations). Toronto, Canada: Association for Computational Linguistics, p. 304-314 11 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Transparency 100%
  • Search engines 32%
• 2022

  A dataset of offensive language in Kosovo social media

  Ajvazi, A. & Hardmeier, C., Jun 2022, Proceedings of the 13th Conference on Linguistic Resources and Evaluation (LREC). European Language Resources Association (ELRA), p. 1860-1869

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

• Bridging the Domain Gap for Stance Detection for the Zulu language

  Dlamini, G., BEKKOUCH, I. E. I., Khan, A. & Derczynski, L., 1 Sept 2022, Proceedings of the 2022 Intelligent Systems Conference (IntelliSys). Springer, Cham, p. 312-325

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • Natural language processing systems 100%

• CrossRE: A Cross-Domain Dataset for Relation Extraction

  Bassignana, E. & Plank, B., 2022, Findings of the Association for Computational Linguistics: EMNLP 2022. Association for Computational Linguistics, Vol. Findings of the Association for Computational Linguistics: EMNLP 2022. p. 3592–3604 13 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Metadata 100%
  • Labels 43%

• deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks

  Ulmer, D. T., Hardmeier, C. & Frellsen, J., 29 Apr 2022.

  Research output: Contribution to conference - NOT published in proceeding or journal › Paper › Research › peer-review

  Open Access

  File

  • Neural networks 100%
  • Testing 84%
  • Deep learning 49%
  • Personnel 41%
  • Machine learning 40%

• Evidence > Intuition: Transferability Estimation for Encoder Selection

  Bassignana, E., Müller-Eberstein, M., Zhang, M. & Plank, B., 7 Dec 2022, The 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022. Abu Dhabi, United Arab Emirates: Association for Computational Linguistics, p. 4218–4227

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Computer vision 100%
  • Tuning 92%
  • Availability 83%

• Experimental Standards for Deep Learning in Natural Language Processing Research

  Ulmer, D. T., Bassignana, E., Müller-Eberstein, M., Varab, D., Zhang, M., van der Goot, R., Hardmeier, C. & Plank, B., 7 Dec 2022, Findings of 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). 20 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • learning 100%
  • reproducibility 55%
  • methodology 14%

• Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective

  Ulmer, D. T., Bassignana, E., Müller-Eberstein, M., Varab, D., Zhang, M., Hardmeier, C. & Plank, B., 29 Apr 2022.

  Research output: Contribution to conference - NOT published in proceeding or journal › Paper › Research › peer-review

  Open Access

  File

  • learning 100%
  • reproducibility 37%
  • methodology 19%

• Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity

  Ulmer, D. T., Frellsen, J. & Hardmeier, C., 7 Dec 2022, Findings of 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP).

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Natural language processing systems 100%
  • Calibration 62%
  • Uncertainty 51%
  • Lenses 13%
  • Software packages 13%

• Frustratingly Easy Performance Improvements for Low-resource Setups: A Tale on BERT and Segment Embeddings

  van der Goot, R., Müller-Eberstein, M. & Plank, B., 2022, Proceedings of the Language Resources and Evaluation Conference. p. 1418-1427

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Syntactics 100%

• Handling and Presenting Harmful Text in NLP Research

  Kirk, H. R., Birhane, A., Vidgen, B. & Derczynski, L., 2022, Findings of EMNLP. Association for Computational Linguistics

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

• Increasing Robustness for Cross-domain Dialogue Act Classification on Social Media Data

  Vielsted, M., Wallenius, N. & van der Goot, R., Oct 2022, Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022). Association for Computational Linguistics, p. 180-193

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Labels 100%
  • Experiments 41%

• Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning

  Zhang, M., Jensen, K. N. & Plank, B., 16 Jun 2022, 13th International Conference on Language Resources and Evaluation. European Language Resources Association (ELRA), p. 436-447 11 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Transfer learning 100%
  • Vacancies 37%
  • Taxonomies 29%
  • Application programming interfaces (API) 26%
  • Labels 23%

• MaChAmp at SemEval-2022 Tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task Multi-lingual Learning for a Pre-selected Set of Semantic Datasets

  van der Goot, R., 2022, Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022). Association for Computational Linguistics, p. 1695-1703

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Multi-task learning 100%
  • Semantics 50%
  • Tuning 11%

• Modelling Persuasion through Misuse of Rhetorical Appeals

  Pauli, A. B., Derczynski, L. & Assent, I., 2022, Proc. Workshop on NLP for Positive Impact. Association for Computational Linguistics

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

• ParCorFull2.0: A parallel corpus annotated with full coreference

  Lapshinova-Koltunski, E., Ferreira, P. A., Lartaud, E. & Hardmeier, C., Jun 2022, Proceedings of the 13th Conference on Linguistic Resources and Evaluation (LREC). European Language Resources Association, p. 805-813

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

• Probing for Labeled Dependency Trees

  Müller-Eberstein, M., van der Goot, R. & Plank, B., 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, p. 7711-7726

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

• Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)

  Hardmeier, C. (ed.), Basta, C. (ed.), Costa-jussà, M. R. (ed.), Stanovsky, G. (ed.) & Gonen, H. (ed.), Jul 2022, Association for Computational Linguistics.

  Research output: Book / Anthology / Report / Ph.D. thesis › Anthology › Research › peer-review

  Open Access

• Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction

  Jurewicz, M. & Derczynski, L., Jul 2022, Proceedings on the International Joint Conferences on Artificial Intelligence.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • Neural networks 100%
  • Natural language processing systems 67%
  • Combinatorial optimization 60%
  • Computer vision 46%
  • Set theory 35%

• Skill Extraction from Job Postings using Weak Supervision

  Zhang, M., Jensen, K. N., van der Goot, R. & Plank, B., 19 Sept 2022, RecSys in HR'22: The 2nd Workshop on Recommender Systems for Human Resources, in conjunction with the 16th ACM Conference on Recommender Systems, September 18--23, 2022, Seattle, USA.. CEUR Workshop Proceedings

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • job posting 100%
  • Occupation and Qualification 58%
  • supervision 51%
  • taxonomy 29%
  • labor market 24%

• SkillSpan: Hard and Soft Skill Extraction from English Job Postings

  Zhang, M., Jensen, K. N., Sonniks, S. D. & Plank, B., 9 Jul 2022, 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

• Sort by Structure: Language Model Ranking as Dependency Probing

  Müller-Eberstein, M., van der Goot, R. & Plank, B., 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, p. 1296-1307

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Linguistics 100%
  • Computer vision 89%
  • Tuning 82%

• Spectral Probing

  Müller-Eberstein, M., van der Goot, R. & Plank, B., Dec 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates: Association for Computational Linguistics, p. 7730-7741

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • Natural language processing systems 100%
  • Linguistics 77%
  • Semantics 55%

• Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature

  Ahmed, S., van der Goot, R., Rehman, M., Kruse, C., Özsoy, Ö., Mehler, A. & Roig, G., Oct 2022, Proceedings of the 29th International Conference on Computational Linguistics. p. 3753--3768

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Natural language processing systems 100%

• The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts

  Hollenstein, N., Barrett, M. J. & Björnsdóttir, M., 2022, Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022). p. 1712‑1720

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

• The Sensitivity of Annotator Bias to Task Definitions in Argument Mining

  Jakobsen, T. S. T., Barrett, M. J., Søgaard, A. & Lassen, D. D., 2022, The Sixteenth Linguistic Annotation Workshop (LAW-XVI 2022). European Language Resources Association, p. 44-61

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

• What do You Mean by Relation Extraction?
 A Survey on Datasets and Study on Scientific Relation Classification

  Bassignana, E. & Plank, B., 2022, The 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. Dublin, Ireland: Association for Computational Linguistics, Vol. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. p. 67–83 17 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access
• 2021

  Abusive Language Recognition in Russian

  Saitov, K. & Derczynski, L., 20 Apr 2021, Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing. Association for Computational Linguistics, p. 20-25

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • Machine learning 100%

• A mention-based system for revision requirements detection

  Ruby, A., Hardmeier, C. & Stymne, S., 2021, Proceedings of the First Workshop on Understanding Implicit and Underspecified Language (UnImplicit). Association for Computational Linguistics, p. 58-63

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

• An IDR Framework of Opportunities and Barriers between HCI and NLP

  Inie, N. & Derczynski, L., 20 Apr 2021, Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing: HCINLP. Association for Computational Linguistics, p. 101-108

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • Human computer interaction 100%

• Annotating Online Misogyny

  Zeinert, P., Inie, N. & Derczynski, L., 3 Aug 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, p. 3181–3197

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • Taxonomies 100%
  • Labels 80%

• Cartography Active Learning

  Zhang, M. & Plank, B., 8 Nov 2021, Findings of the Association for Computational Linguistics: EMNLP 2021. Association for Computational Linguistics, p. 395–406

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • Problem-Based Learning 100%
  • Seed 9%
  • Labeling 9%
  • Learning algorithms 8%
  • Statistics 7%

• Challenges in Annotating and Parsing Spoken, Code-switched, Frisian-Dutch Data

  Braggaar, A. & van der Goot, R., Apr 2021, Proceedings of the Second Workshop on Domain Adaptation for NLP. Association for Computational Linguistics, p. 50-58

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • Experiments 100%

• CL-MoNoise: Cross-lingual Lexical Normalization

  van der Goot, R., Oct 2021, Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021). Association for Computational Linguistics, p. 510 4 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  • Labeling 100%

• Creating a Universal Dependencies Treebank of Spoken Frisian-Dutch Code-switched Data

  Braggaar, A. & van der Goot, R., 25 Sept 2021.

  Research output: Contribution to conference - NOT published in proceeding or journal › Conference abstract for conference › Research › peer-review

  Open Access

  • Frisians 100%
  • Treebank 96%
  • Utterance 59%
  • Code-switching 28%
  • Annotation 23%

• Cross-Lingual Cross-Domain Nested Named Entity Evaluation on English Web Texts

  Plank, B., 2021, Findings of ACL 2021. Association for Computational Linguistics, p. 1808 1815 p.

  Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  Open Access

  File

  • Availability 100%