Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- 2018
- 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
- 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
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
- 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
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
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
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
- 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
- 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
ID: 13266
Most downloads
-
470
downloads
Multilingual projection for parsing truly low resource languages
Research output: Contribution to journal › Conference article › Research › peer-review
Published -
343
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 -
284
downloads
Reading metrics for estimating task efficiency with MT output
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published