Natural Language Processing
Organisational unit: Research Group
IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark
Contact information
- Web: http://nlp.itu.dk
Organisation profile
Natural Language Processing (NLP) uses machine learning and other techniques to parse, analyse, translate and understand texts in human languages such as English or Danish. The work of ITU NLP researchers include transfer learning, representation learning, analysis of clinical patient records, automatic summarization, corpora building, stance detection, fake news analysis, and much more.
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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
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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 LinguisticsResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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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
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Hyperparameter Power Impact in Transformer Language Model Training
Puvis de Chavannes, L. H., Kongsbak, M. G. K., Rantzau, T. & Derczynski, L., 1 Nov 2021, Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing. Association for Computational LinguisticsResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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DanFEVER: claim verification dataset for Danish
Nørregaard, J. & Derczynski, L., 1 Jun 2021, Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). Northern European Association for Language Technology (NEALT)Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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The Danish Gigaword Corpus
Derczynski, L., Ciosici, M. R., Baglini, R., Christiansen, M., Dalsgaard, J. A., Fusaroli, R., Henrichsen, P. J., Hvingelby, R., Kirkedal, A. S., Kjeldsen, A. S., Ladefoged, C., Nielsen, F. Å., Madsen, J., Petersen, M. L., Rystrøm, J. H. & Varab, D., 1 Jun 2021, Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). Northern European Association for Language Technology (NEALT)Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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How Universal is Genre in Universal Dependencies?
Müller-Eberstein, M., van der Goot, R. & Plank, B., Dec 2021, Proceedings of the 20th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2021). Sofia, Bulgaria: Association for Computational Linguistics, p. 69-85Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Unsupervised discovery of unaccusative and unergative verbs
Loáiciga, S., Bevacqua, L. & Hardmeier, C., 2021.Research output: Working paper › Preprint › Research
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How to write a bias statement: Recommendations for submissions to the Workshop on Gender Bias in NLP
Hardmeier, C., Costa-jussà, M. R., Webster, K., Radford, W. & Blodgett, S. L., 2021.Research output: Working paper › Preprint › Research
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Proceedings of the Third Workshop on Gender Bias in Natural Language Processing
Costa-jussà, M. R. (ed.), Gonen, H. (ed.), Hardmeier, C. (ed.) & Webster, K. (ed.), 2021, Association for Computational Linguistics.Research output: Book / Anthology / Report / Ph.D. thesis › Anthology › Research › peer-review
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Proceedings of the Second Workshop on Computational Approaches to Discourse (CODI)
Braud, C. (ed.), Hardmeier, C. (ed.), Li, J. J. (ed.), Louis, A. (ed.), Strube, M. (ed.) & Zeldes, A. (ed.), 2021, Association for Computational Linguistics.Research output: Book / Anthology / Report / Ph.D. thesis › Anthology › Research › peer-review
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Event and entity coreference across five European languages: Effects of context and referring expression
Bevacqua, L., Loáiciga, S., Rohde, H. & Hardmeier, C., 18 Dec 2021, In: Dialogue and Discourse.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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Exploring the importance of source text in automatic post-editing for context-aware machine translation
Wang, C., Hardmeier, C. & Sennrich, R., 2021, Proceedings of the 23rd Nordic Conference on Computational Linguistics (NODALIDA). Linköping University Electronic Press, p. 326-335Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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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. 58-63Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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MultiLexNorm: A Shared Task on Multilingual Lexical Normalization
van der Goot, R., Ramponi, A., Zubiaga, A., Plank, B., Muller, B., San Vicente Roncal, I., Ljubešic´, N., Çetinoğlu, Ö., Mahendra, R., Çolakoglu, T., Baldwin, T., Caselli, T. & Sidorenko, W., Nov 2021, Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021). Association for Computational Linguistics, p. 493–509 16 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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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
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We Need to Talk About train-dev-test Splits
van der Goot, R., Oct 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 4485 9 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Much Gracias: Semi-supervised Code-switch Detection for Spanish-English: How far can we get?
Iliescu, D-M., Grand, R., van der Goot, R. & Qirko, S., Jun 2021, Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching. Association for Computational Linguistics, p. 65 6 p. (Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Resources and Evaluations for Danish Entity Resolution
Barrett, M. J., Lam, H., Wu, M., Lacroix, O., Plank, B. & Søgaard, A., 2021, Fourth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC). Association for Computational Linguistics, p. 63–69Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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DaNLP: An open-source toolkit for Danish Natural Language Processing
Pauli, A. B., Barrett, M. J., Lacroix, O. & Hvingelby, R., 2021, Proceedings of the 23rd Nordic Conference on Computational Linguistics. Linköping Electronic Conference Proceedings, p. 460-466Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Decoding EEG brain activity for multi-modal natural language processing
Hollenstein, N., Renggli, C., Glaus, B., Barrett, M. J., Troendle, M., Langer, N. & Zhang, C., 2021, In: Frontiers in Human Neuroscience. 15, 659410.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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Spurious Correlations in Cross-Topic Argument Mining
Jakobsen, T. S. T., Barrett, M. J. & Søgaard, A., 2021, Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics, p. 263-277 9 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction
Jurewicz, M. & Derczynski, L., 1 Dec 2021, Thirty-fifth Conference on Neural Information Processing Systems: Datasets and Benchmarks Track. 2021 ed. Vol. 1.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Genre as Weak Supervision for Cross-lingual Dependency Parsing
Müller-Eberstein, M., van der Goot, R. & Plank, B., Nov 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Online and Punta Cana, Dominican Republic: Association for Computational Linguistics, p. 4786-4802Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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"I’ll be there for you": The One with Understanding Indirect Answers
Damgaard, C., Toborek, P., Eriksen, T. & Plank, B., 2021, The Second Workshop on Computational Approaches to Discourse. Association for Computational LinguisticsResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review