Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- 2017
- Published
Is writing style predictive of scientific fraud?
Braud, C. E. & Søgaard, Anders, 2017, Proceedings of the Workshop on Stylistic VariationAssociation for Computational Linguistics. Association for Computational Linguistics, p. 37-42 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- Published
Using gaze to predict text readability
Gonzalez, Ana Valeria & Søgaard, Anders, 2017, Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications. Association for Computational Linguistics, p. 438-443Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A strong baseline for learning cross-lingualword embeddings from sentence alignments
Levy, O., Søgaard, Anders & Goldberg, Y., 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. 765-774 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Parsing Universal Dependencies without training
Martinez Alonso, H., Agic, Z., Plank, B. & 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. 230-240 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
From Thesaurus to Framenet
Nimb, S., Braasch, Anna, Olsen, Sussi, Pedersen, Bolette Sandford & Søgaard, Anders, 2017, Electronic Lexicography in the 21st Century : Proceedings of eLex 2017 conference. Kosem, I., Tiberius, C., Jakubíček, M., Kallas, J., Krek, S. & Baisa, V. (eds.). Lexical Computing CZ, p. 1-22 23 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Learning what to share between loosely related tasks
Ruder, S., Bingel, J., Augenstein, Isabelle & Søgaard, Anders, 23 May 2017, In: arXiv.Research output: Contribution to journal › Journal article › Research
- Published
Evaluating hypotheses in geolocation on a very large sample of Twitter
Salehi, B. & Søgaard, Anders, 2017, Proceedings of the 3rd Workshop on Noisy User-generated Text. Association for Computational Linguistics, p. 62-67 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Huntsville, hospitals, and hockey teams: Names can reveal your location
Salehi, B., Hovy, D., Hovy, E. & Søgaard, Anders, 2017, Proceedings of the 3rd Workshop on Noisy User-generated Text. Association for Computational Linguistics, p. 161-121Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Spikes as Regularizers
Søgaard, Anders, 2017, ESANN 2017 - Proceedings: 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN , p. 371-376 6 p. (arXiv.org).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- 2018
- Published
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Augenstein, Isabelle, Ruder, S. & Søgaard, Anders, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Association for Computational Linguistics, Vol. 1. p. 1896–1906 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Sequence classification with human attention
Barrett, M. J., Bingel, J., Hollenstein, N., Rei, M. & Søgaard, Anders, 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Korhonen, A. & Titov, I. (eds.). Association for Computational Linguistics, p. 302–312Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing
Barrett, M. J., Gonzalez, Ana Valeria, Frermann, L. & Søgaard, Anders, 2018, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Human Language Technologies, (Long Papers) . Cordeiro, S. R., Oraby, S., Pavalanathan, U. & Rim, K. (eds.). Association for Computational Linguistics, Vol. 1. p. 2028-2038 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Lexii: A tool for adaptive, personalized text simplification
Bingel, J., Paetzold, G. H. & Søgaard, Anders, 2018, Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, p. 245-258Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Multi-task learning for historical text normalization: Size matters
Bollmann, M. M., Søgaard, Anders & Bingel, J., 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, p. 19–24Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A strong baseline for question relevancy ranking
Gonzalez, Ana Valeria, Augenstein, Isabelle & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 4810–4815Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Learning to predict readability using eye-movement data from natives and learners
Gonzalez, Ana Valeria & Søgaard, Anders, 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, Proceedings. AAAI Press, p. 5118-5124 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Leaming LanguageJndepondent Roprcsentations of Vorbe snd AdjcctivEs from Multimodal Retricvsl
Hansen, V. P. B. & Søgaard, Anders, 2018, Proceedings of the 14th lnternatlonal Conference on Signal lmage Technology & lnternet Based Systems: SITIS 2018. IEEE, p. 427-434Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Limitations of cross-lingual learning from image search
Hartmann, M. & Søgaard, Anders, 2018, Proceedings of the 3rd Workshop on Representation Learning for NLP. p. 59–163Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- Published
Character-level Supervision for Low-resource POS Tagging
Kann, K., Bjerva, J., Augenstein, Isabelle, Plank, B. & Søgaard, Anders, 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, p. 1–11Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction
Kementchedjhieva, Yova Radoslavova, Ruder, S., Cotterell, R. & Søgaard, Anders, 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Association for Computational Linguistics, p. 211–220Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- Published
Sentiment analysis under temporal shift
Lukes, J. & Søgaard, Anders, 2018, Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Association for Computational Linguistics, p. 65–71Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 13266
Most downloads
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469
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Multilingual projection for parsing truly low resource languages
Research output: Contribution to journal › Conference article › Research › peer-review
Published -
342
downloads
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
Published -
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