Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- 2017
- 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
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
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
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
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 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
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
- 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
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
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
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
- 2018
- Published
A Danish FrameNet Lexicon and an Annotated Corpus Used for Training and Evaluating a Semantic Frame Classifier
Pedersen, Bolette Sandford, Nimb, S., Søgaard, Anders, Hartmann, M. & Olsen, Sussi, 2018, Proceedings of the 11th edition of the Language Resources and Evaluation Conference, Miyazaki, Japan.. European Language Resources Association, 5 p.Research 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
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
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
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
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
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
Linguistic representations in multi-task neural networks for ellipsis resolution
Rønning, O., Hardt, D. & Søgaard, Anders, 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, p. 66–73Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
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
Nightmare at test time: How punctuation prevents parsers from generalizing
Søgaard, Anders, Lhoneux, M. D. & Augenstein, Isabelle, 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP . Association for Computational Linguistics, p. 25–29Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
On the Limitations of Unsupervised Bilingual Dictionary Induction
Søgaard, Anders, Ruder, S. & Vulic, I., 2018, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: (Long papers). Association for Computational Linguistics, p. 778–788Research 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
- 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
Sluice resolution without hand-crafted features over brittle syntax trees
Rønning, Ola, Hardt, D. & 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. 236–241Research 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
What I think when I think about treebanks
Søgaard, Anders, 2018, Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),. Association for Computational Linguistics, p. 161-166Research 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
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
Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Rei, M. & Søgaard, Anders, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Ppaers). Association for Computational Linguistics, Vol. 1. p. 293–302Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2019
- Published
A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors
Flachs, S., Lacroix, O., Rei, M., Yannakoudakis, H. & 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. 2418-2427Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A Survey of Cross-lingual Word Embedding Models
Ruder, S., Vulić, I. & Søgaard, Anders, 2019, In: The Journal of Artificial Intelligence Research. 65, p. 569-631Research output: Contribution to journal › Journal article › Research › peer-review
- Published
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
Vania, C., Kementchedjhieva, Yova Radoslavova, Søgaard, Anders & Lopez, A., 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, p. 1105-1116Research 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
- 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
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
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
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
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
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
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
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
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
Latent Multi-Task Architecture Learning
Ruder, S., Bingel, J., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019. AAAI Press, p. 4822-4829Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Learning Language-Independent Representations of Verbs and Adjectives from Multimodal Retrieval
Hansen, V. P. B. & Søgaard, Anders, 2019, Proceedings - 14th International Conference on Signal-Image Technology and Internet Based Systems, SITIS. IEEE, p. 427-434 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
Kementchedjhieva, Yova Radoslavova, lwp876, 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. 3336–3341Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies
Kurita, S. & Søgaard, Anders, 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 2420-2430Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Naive regularizers for low-resource neural machine translation
Beloucif, M., Gonzalez, Ana Valeria, Bollmann, M. & Søgaard, Anders, 2019, International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. Angelova, G., Mitkov, R., Nikolova, I., Temnikova, I. & Temnikova, I. (eds.). Incoma Ltd, p. 102-111 10 p.Research 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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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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290
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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
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