Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- Published
Jointly Learning to Label Sentences and Tokens
Rei, M. & Søgaard, Anders, 2019, Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019. AAAI Press, p. 6916-6923Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Issue Framing in Online Discussion Fora
Hartmann, M., Jansen, T., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, p. 1401-1407Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Historical Text Normalization with Delayed Rewards
Flachs, S., Bollmann, M. & Søgaard, Anders, 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 1614-1619Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Higher-order Comparisons of Sentence Encoder Representations
vqc439, V., Kulmizev, A., Hill, F., Low, D. M. 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. 5838–5845Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Few-Shot and Zero-Shot Learning for Historical Text Normalization
Bollmann, M., Korchagina, N. & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, p. 104-114Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Domain Transfer in Dialogue Systems without Turn-Level Supervision
Bingel, J., Hansen, V. P. B., Gonzalez, Ana Valeria, Budzianowski, P., Augenstein, Isabelle & Søgaard, Anders, 2019. 12 p.Research output: Contribution to conference › Paper › Research
- Published
Cross-Lingual Word Embeddings
Søgaard, Anders, Vulić, I., Ruder, S. & Faruqui, M., 2019, 2 ed. Morgan & Claypool Publishers. 132 p. (Synthesis Lectures on Human Language Technologies).Research output: Book/Report › Book › Research › peer-review
- Published
Comparing Unsupervised Word Translation Methods Step by Step
Hartmann, M., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs
Gonzalez, Ana Valeria, Petrén Bach Hansen, V., Bingel, J. & Søgaard, Anders, 2019, Proceedings of the 13th International Workshop on Semantic Evaluation. Association for Computational Linguistics, p. 169-174Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Better, Faster, Stronger Sequence Tagging Constituent Parsers
Vilares, D., Abdou, M. & Søgaard, Anders, 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, p. 3372-3383Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 13266
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470
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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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344
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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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288
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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