Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
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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
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Cross-domain answer ranking using importance sampling
Johannsen, A. T. & Søgaard, Anders, 2013, The 6th International Joint Conference on Natural Language Processing (IJCNLP). Association for Computational Linguistics, p. 987-991Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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Cross-lingual Syntactic Variation over Age and Gender
Johannsen, A. T., Hovy, D. & Søgaard, Anders, 2015, Proceedings of the Nineteenth Conference on Computational Natural Language Learning: CoNLL. Association for Computational Linguistics, p. 103-112 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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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
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Cross-lingual transfer of correlations between parts of speech and gaze features
Barrett, M. J., Keller, F. & Søgaard, Anders, 2016, The 26th International Conference on Computational Linguistics (COLING): proceedings of COLING 2016: technical papers. p. 1330-1339 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Crowdsourcing and annotating NER for Twitter #drift
Fromreide, H., Hovy, D. & Søgaard, Anders, 2014, Proceedings of the 9th International Conference on Language Resources and Evaluation : LREC2014. European Language Resources AssociationResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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DaNE: A named entity resource for danish
Hvingelby, R., Pauli, A. B., Barrett, M., Rosted, C., Lidegaard, L. M. & Søgaard, Anders, 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 4597-4604Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Danish parallel corpus for text simplification
Klerke, S. & Søgaard, Anders, 2012, Proceedings of the eighth International Conference on Language Resources and Evaluation. European Language Resources AssociationResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Data point selection for cross-language adaptation of dependency parsers
Søgaard, Anders, 2011, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT). Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Date Recognition in Historical Parish Records
Cabello Piqueras, Laura, Fierro Mella, Constanza Catalina, Lotz, Jonas Færch, Rust, Phillip, Rommedahl, J., Due, J. K., Igel, Christian, Elliott, Desmond, Pedersen, C. B., Salazar, I. & Søgaard, Anders, 2022, Frontiers in Handwriting Recognition : 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings. Porwal, U., Fornés, A. & Shafait, F. (eds.). Springer, p. 49-64 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13639 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Deep multi-task learning with low level tasks supervised at lower layers
Søgaard, Anders & Goldberg, Y., 2016, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Vol. 2. p. 231-235 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
Rust, Phillip & Søgaard, Anders, 2023, In: Proceedings of Machine Learning Research. 202, p. 29354-29387Research output: Contribution to journal › Conference article › Research › peer-review
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Disambiguating explicit discourse connectives without oracles
Johannsen, A. T. & Søgaard, Anders, 2013, The 6th International Joint Conference on Natural Language Processing (IJCNLP). Association for Computational Linguistics, p. 997-1001Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Do Language Models Know the Way to Rome?
Liétard, B. N., Abdou, M. & Søgaard, Anders, 2021, Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, p. 510–517Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?
Eberle, O., Brandl, Stephanie, Pilot, J. & Søgaard, Anders, 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 4295-4309 (Proceedings of the Annual Meeting of the Association for Computational Linguistics, Vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Do dependency parsing metrics correlate with human judgments?
Plank, B., Martinez Alonso, H., Agic, Z., Merkler, D. & Søgaard, Anders, 2015, The 19th Conference on Computational Natural Language Learning (CoNLL). Association for Computational Linguistics, p. 315-320 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Do end-to-end speech recognition models care about context?
Borgholt, L., Havtorn, J. D., Agic, Ž., Søgaard, Anders, Maaløe, L. & Igel, Christian, 2020, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. International Speech Communication Association (ISCA), Vol. 2020-October. p. 4352-4356Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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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
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Down-stream effects of tree-to-dependency conversions
Elming, J., Johannsen, A. T., Klerke, S., Lapponi, E., Martinez Alonso, H. & Søgaard, Anders, 2013, The 2013 Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, Vol. 1. p. 617-626Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Dynamic Forecasting of Conversation Derailment
Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 7915–7919Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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EMNLP@CPH: Is frequency all there is to simplicity?
Johannsen, A. T., Martinez Alonso, H., Klerke, S. & Søgaard, Anders, 2012, Proceedings of SemEval-2012, 1st Joint Conference on Lexical and Computational Semantics. Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Ellipsis resolution as question answering: An evaluation
Aralikatte, R., Lamm, M., Hardt, D. & Søgaard, Anders, 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics, p. 810-817 8 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
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
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Reading metrics for estimating task efficiency with MT output
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