Anders Søgaard - Google Scholar Citations

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	All	Since 2015
Citations	3226	2820
h-index	29	27
i10-index	69	59

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Co-authors

Barbara PlankAssociate Professor in Natural Language Processing, ITUVerified email at itu.dk
Dirk HovyBocconi UniversityVerified email at unibocconi.it
Héctor Martínez AlonsoApple IncVerified email at apple.com
Joachim BingelUniversity of CopenhagenVerified email at di.ku.dk
Isabelle AugensteinAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Sebastian RuderResearch scientist, DeepMindVerified email at google.com
Yoav GoldbergProfessor, Bar Ilan UniversityVerified email at cs.biu.ac.il
Sigrid KlerkeIT University of CopenhagenVerified email at itu.dk
Zeljko AgicHead of Applied Science at Corti; PhD in Natural Language ProcessingVerified email at corti.ai
Maria BarrettPost doc, University of CopenhagenVerified email at di.ku.dk
Ivan VulićSenior Research Associate, University of CambridgeVerified email at cam.ac.uk
Sune LehmannProfessor, Department of Applied Mathematics and Computer Science, Technical University of DenmarkVerified email at dtu.dk
Chloé BraudMelodi, IRIT, CNRS (Toulouse)Verified email at irit.fr
Marcel BollmannUniversity of Copenhagen, DenmarkVerified email at bollmann.me
Iyad RahwanMax Planck Institute for Human Development & MIT Media LabVerified email at mpib-berlin.mpg.de
Alan MisloveProfessor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Natalie SchluterIT University of CopenhagenVerified email at itu.dk
Wolfgang MaierMercedes-Benz AG; formerly University of DüsseldorfVerified email at hhu.de
Bjarke FelboMassachusetts Institute of TechnologyVerified email at felbo.dk
Marek ReiLecturer, Imperial College LondonVerified email at imperial.ac.uk

Anders Søgaard

Full Professor in NLP and Machine Learning, University of Copenhagen

Verified email at di.ku.dk - Homepage

Natural Language Processing Machine Learning.


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Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm B Felbo, A Mislove, A Søgaard, I Rahwan, S Lehmann arXiv preprint arXiv:1708.00524, 2017	241	2017
Deep multi-task learning with low level tasks supervised at lower layers A Søgaard, Y Goldberg Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	224	2016
Multilingual part-of-speech tagging with bidirectional long short-term memory models and auxiliary loss B Plank, A Søgaard, Y Goldberg arXiv preprint arXiv:1604.05529, 2016	221	2016
A survey of cross-lingual word embedding models S Ruder, I Vulić, A Søgaard Journal of Artificial Intelligence Research 65, 569-631, 2019	144*	2019
Identifying beneficial task relations for multi-task learning in deep neural networks J Bingel, A Søgaard arXiv preprint arXiv:1702.08303, 2017	112	2017
Simple task-specific bilingual word embeddings S Gouws, A Søgaard Proceedings of the 2015 Conference of the North American Chapter of the …, 2015	96	2015
Data point selection for cross-language adaptation of dependency parsers A Søgaard Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011	96	2011
Semisupervised condensed nearest neighbor for part-of-speech tagging A Søgaard Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011	84	2011
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	78	2017
Improving sentence compression by learning to predict gaze S Klerke, Y Goldberg, A Søgaard arXiv preprint arXiv:1604.03357, 2016	66	2016
On the limitations of unsupervised bilingual dictionary induction A Søgaard, S Ruder, I Vulić arXiv preprint arXiv:1805.03620, 2018	65	2018
Multilingual projection for parsing truly low-resource languages Ž Agić, A Johannsen, B Plank, HM Alonso, N Schluter, A Søgaard Transactions of the Association for Computational Linguistics 4, 301-312, 2016	59	2016
Cross-lingual syntactic variation over age and gender A Johannsen, D Hovy, A Søgaard Proceedings of the nineteenth conference on computational natural language …, 2015	56	2015
Inverted indexing for cross-lingual NLP A Søgaard, Ž Agić, HM Alonso, B Plank, B Bohnet, A Johannsen The 53rd Annual Meeting of the Association for Computational Linguistics and …, 2015	55	2015
Simple semi-supervised training of part-of-speech taggers A Søgaard Proceedings of the ACL 2010 Conference Short Papers, 205-208, 2010	55	2010
Semi-supervised learning and domain adaptation in natural language processing A Søgaard Synthesis Lectures on Human Language Technologies 6 (2), 1-103, 2013	53	2013
Treebanks and mild context-sensitivity W Maier, A Søgaard Proceedings of Formal Grammar, 61, 2008	42	2008
If all you have is a bit of the Bible: Learning POS taggers for truly low-resource languages Ž Agić, D Hovy, A Søgaard Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	41	2015
Multi-task learning of pairwise sequence classification tasks over disparate label spaces I Augenstein, S Ruder, A Søgaard arXiv preprint arXiv:1802.09913, 2018	39	2018
A strong baseline for learning cross-lingual word embeddings from sentence alignments O Levy, A Søgaard, Y Goldberg arXiv preprint arXiv:1608.05426, 2016	37*	2016

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