Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- 2016
- Published
Biases we live by
Søgaard, Anders, 2016, In: Nordisk Tidsskrift for Informationsvidenskab og Kulturformidling. 5, 1, p. 31-35 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Deep multi-task learning with low level tasks supervised at lower layers
Søgaard, Anders & Goldberg, Y., 2016, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Vol. 2. p. 231-235 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Evaluating word embeddings with fMRI and eye-tracking
Søgaard, Anders, 2016, Proceedings of the 1st Workshop on Evaluating Vector Space Representations for NLP. Association for Computational Linguistics, p. 116-121 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2017
- Published
Cross-lingual tagger evaluation without test data
Agic, Z., Plank, B. & Søgaard, Anders, 2017, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: short papers. Association for Computational Linguistics, Vol. 2. p. 248-253 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Multi-Task Learning of Keyphrase Boundary Classification
Augenstein, Isabelle & Søgaard, Anders, 2017, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics : (Short Papers). Barzilay, R. & Kan, M-Y. (eds.). Association for Computational Linguistics, Vol. 2. p. 341-346 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Identifying beneficial task relations for multi-task learning in deep neural networks
Bingel, J. & Søgaard, Anders, 2017, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: volume 2, short papers. Association for Computational Linguistics, Vol. 2. p. 164-169 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Learning attention for historical text normalization by learning to pronounce
Bollmann, M., Bingel, J. & Søgaard, Anders, 1 Jan 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics, p. 332-344 13 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Cross-lingual and cross-domain discourse segmentation of entire documents
Braud, C., Lacroix, O. & Søgaard, Anders, 1 Jan 2017, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics: Short papers. Association for Computational Linguistics, Vol. 2. p. 237-243 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Cross-lingual RST discourse parsing
Braud, C. E., Coavoux, M. & Søgaard, Anders, 2017, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: long papers. Association for Computational Linguistics, Vol. 1. p. 292-304 13 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Does syntax help discourse segmentation? Not so much
Braud, C. E., Lacroix, O. & Søgaard, Anders, 2017, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 2432–2442 11 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
Research output: Contribution to journal › Conference article › Research › peer-review
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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