Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- Published
Linguistically debatable or just plain wrong?
Plank, B., Hovy, D. & Søgaard, Anders, 2014, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Baltimore, Maryland: Association for Computational Linguistics, Vol. volume 2. p. 507-511Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Locke’s Holiday: Belief Bias in Machine Reading
Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 8240–8245Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Logical investigations on the adequacy of certain feature-based theories of natural language
Søgaard, Anders, 2006, Proceedings of The Joint Human Language Technology Conference and the North American Chapter of the Association of Computational Linguistics (HTL-NAACL) 2006, Companion Volume. New York, New York, p. 239-242Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Research
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Looking hard: Eye tracking for detecting grammaticality of automatically compressed sentences
Klerke, S., Martinez Alonso, H. & Søgaard, Anders, 2015, Proceedings of the 20th Nordic Conference of Computational Linguistics NODALIDA 2015. Linköping University Electronic Press, p. 97-106 10 p. (NEALT (Northern European Association of Language Technology) Proceedings Series, Vol. 23).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
Kementchedjhieva, Yova Radoslavova, lwp876, L. & Søgaard, Anders, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing. Association for Computational Linguistics, p. 3336–3341Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Mapping Brains with Language Models: A Survey
Karamolegkou, Antonia, Abdou, M. & Søgaard, Anders, 2023, Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics (ACL), p. 9748-9762Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Mathematical problems from applied logic
Søgaard, Anders, 2007, In: Studia Logica : An International Journal for Symbolic Logic. 87, 2, p. 363-367Research output: Contribution to journal › Review › Research
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Mathematical properties of natural language and mathematical properties of linguistic theories
Søgaard, Anders, 2007, Grammatik i Fokus/Grammar in Focus 21. Lund University PressResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- Published
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages
Ponti, E. M., Aralikatte, R., Shrivastava, D., Reddy, S. & Søgaard, Anders, 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, p. 1245-1260Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Mining for unambiguous instances to adapt POS taggers to new domains
Hovy, D., Plank, B., Martinez Alonso, H. & Søgaard, Anders, 2015, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL 2015. Association for Computational Linguistics, p. 1256-1261 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 13266
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468
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Multilingual projection for parsing truly low resource languages
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342
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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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283
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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
Published