Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
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Using hybrid logic for querying dependency treebanks
Søgaard, Anders & Kristiansen, S. L., 2012, In: Linguistic Issues in Language Technology. 7, 5Research output: Contribution to journal › Journal article › Research › peer-review
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Using hyperlinks to improve multilingual partial parsers
Søgaard, Anders, 2017, Proceedings of the 15th International Conference on Parsing Technologies. Association for Computational Linguistics, p. 67-71Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Felbo, B., Mislove, A., Søgaard, Anders, Rahwan, I. & Lehmann, S., 2017, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 615–1625 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Using reading behavior to predict grammatical functions
Barrett, M. J. & Søgaard, Anders, 2015, Proceedings of the Sixth Workshop on Cognitive Aspects of Computational Language Learning: CogACLL-2015). Lisbon, Portugal: Association for Computational Linguistics, p. 1-5 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Verifying context-sensitive treebanks and heuristic parses in polynomial time
Søgaard, Anders, 2009, Proceedings of the 17th Nordic Conference of Computational Linguistics. Tartu University Library, 8 p. (NEALT Proceedings Series; No. 4).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Vine parsing augmented Italian treebanks
Søgaard, Anders & Rishøj, C., 2009, Poster and Workshop Proceedings of the 11th Conference of the Italian Association for Artificial Intelligence. Italian Association for Artificial IntelligenceResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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We Need to Talk About Random Splits
Søgaard, Anders, Ebert, S. E., Bastings, J. & Filippova, K., 2021, Proceeding of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL). Association for Computational Linguistics, p. 1823–1832Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
Kann, K., Lacroix, O. & Søgaard, Anders, 2020, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press, p. 8066-8073.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Weakly supervised part-of-speech tagging using eye-tracking data
Barrett, M. J., Bingel, J., Keller, F. & Søgaard, Anders, 2016, The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference. Berlin: Association for Computational Linguistics, Vol. 2. p. 579-584 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset
Nunes Ribeiro, T. F., Brandl, Stephanie, Søgaard, Anders & Hollenstein, N., 2023, arXiv.org, 14 p.Research output: Working paper › Preprint › Research
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What Do You Mean ‘Why?’: Resolving Sluices in Conversation
Hansen, V. P. B. & Søgaard, Anders, 2020, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press, p. 7887-7894.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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What I think when I think about treebanks
Søgaard, Anders, 2018, Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),. Association for Computational Linguistics, p. 161-166Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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What a Creole Wants, What a Creole Needs
Lent, H., Ogueji, K., de Lhoneux, M., Ahia, O. & Søgaard, Anders, 2022, Proceedings of the Thirteenth Language Resources and Evaluation Conference. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 6439-6449Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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What does the Failure to Reason with “Respectively” in Zero/Few-Shot Settings Tell Us about Language Models?
Cui, Ruixiang, Lee, S., Hershcovich, Daniel & Søgaard, Anders, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Long Papers. Association for Computational Linguistics (ACL), Vol. 1. p. 8786-8800Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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What’s in a p-value in NLP?
Søgaard, Anders, Johannsen, A. T., Plank, B., Hovy, D. & Martinez Alonso, H., 2014, Eighteenth Conference on Computational Natural Language Learning: CoNLL-2014. Baltimore, Maryland, USA: Association for Computational Linguistics, p. 1-10Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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When POS datasets don’t add up: Combatting sample bias
Hovy, D., Plank, B. & Søgaard, Anders, 2014, Proceedings of the 9th International Conference on Language Resources and Evaluation : LREC2014. Reykjavik, Iceland: European Language Resources AssociationResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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When does deep multi-task learning work for loosely related document classification tasks?
Kerinec, E., Søgaard, Anders & Braud, C., 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, p. 1-8Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Why is unsupervised alignment of English embeddings from different algorithms so hard?
Hartmann, M., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 582–586Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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WikiBank: Using wikidata to improve multilingual frame-semantic parsing
Sas, C., Beloucif, M. & Søgaard, Anders, 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 4183-4189Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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With blinkers on: Robust prediction of eye movements across readers
Matthies, F. & Søgaard, Anders, 2013, EMNLP 2013. Association for Computational Linguistics, p. 803-807Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Word Order Does Matter: (And Shuffled Language Models Know It)
Abdou, M., Ravishankar, V., Kulmizev, A. & Søgaard, Anders, 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 6907-6919Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension
Abdou, M., Sas, C., Aralikatte, R., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, p. 265-274Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning
de Lhoneux, M., Zhang, S. & Søgaard, Anders, 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Short Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 578-587Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Rei, M. & Søgaard, Anders, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Ppaers). Association for Computational Linguistics, Vol. 1. p. 293–302Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Zipfian corruptions for robust POS tagging
Søgaard, Anders, 2013, Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL. Association for Computational Linguistics, p. 668-672Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 13266
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Multilingual projection for parsing truly low resource languages
Research output: Contribution to journal › Conference article › Research › peer-review
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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284
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Reading metrics for estimating task efficiency with MT output
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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