Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- Published
Experiments with crowdsourced re-annotation of a POS tagging data set
Hovy, D., Plank, B. & Søgaard, Anders, Jun 2014, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Baltimore, Maryland: Association for Computational Linguistics, p. 377-382Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Crowdsourcing and annotating NER for Twitter #drift
Fromreide, H., Hovy, D. & Søgaard, Anders, 2014, Proceedings of the 9th International Conference on Language Resources and Evaluation : LREC2014. European Language Resources AssociationResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Copenhagen-Malmö: Tree approximations of semantic parsing problems
Schluter, N. E., Søgaard, Anders, Elming, J., Hovy, D., Plank, B., Martinez Alonso, H., Johannsen, A. T. & Klerke, S., 2014, Proceedings of the 8th International Workshop on Semantic Evaluation: SemEval 2014. Dublin, Ireland: Association for Computational Linguistics, p. 213-217Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Adapting taggers to Twitter with not-so-distant supervision
Plank, B., Hovy, D., McDonald, R. & Søgaard, Anders, 2014, Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. Dublin, Ireland: Association for Computational Linguistics, p. 1783-1792Research 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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347
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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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298
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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